diff options
Diffstat (limited to 'src/ipa')
191 files changed, 35164 insertions, 2822 deletions
diff --git a/src/ipa/ipu3/algorithms/af.cpp b/src/ipa/ipu3/algorithms/af.cpp index 29eb7355..cf68fb59 100644 --- a/src/ipa/ipu3/algorithms/af.cpp +++ b/src/ipa/ipu3/algorithms/af.cpp @@ -11,7 +11,6 @@ #include <chrono> #include <cmath> #include <fcntl.h> -#include <numeric> #include <sys/ioctl.h> #include <sys/stat.h> #include <sys/types.h> @@ -23,8 +22,6 @@ #include <libcamera/ipa/core_ipa_interface.h> -#include "libipa/histogram.h" - /** * \file af.h */ diff --git a/src/ipa/ipu3/algorithms/agc.cpp b/src/ipa/ipu3/algorithms/agc.cpp index 0e0114f6..39d0aebb 100644 --- a/src/ipa/ipu3/algorithms/agc.cpp +++ b/src/ipa/ipu3/algorithms/agc.cpp @@ -9,14 +9,15 @@ #include <algorithm> #include <chrono> -#include <cmath> #include <libcamera/base/log.h> #include <libcamera/base/utils.h> #include <libcamera/control_ids.h> + #include <libcamera/ipa/core_ipa_interface.h> +#include "libipa/colours.h" #include "libipa/histogram.h" /** @@ -33,7 +34,7 @@ namespace ipa::ipu3::algorithms { * \class Agc * \brief A mean-based auto-exposure algorithm * - * This algorithm calculates a shutter time and an analogue gain so that the + * This algorithm calculates an exposure time and an analogue gain so that the * average value of the green channel of the brightest 2% of pixels approaches * 0.5. The AWB gains are not used here, and all cells in the grid have the same * weight, like an average-metering case. In this metering mode, the camera uses @@ -51,13 +52,13 @@ LOG_DEFINE_CATEGORY(IPU3Agc) static constexpr double kMinAnalogueGain = 1.0; /* \todo Honour the FrameDurationLimits control instead of hardcoding a limit */ -static constexpr utils::Duration kMaxShutterSpeed = 60ms; +static constexpr utils::Duration kMaxExposureTime = 60ms; /* Histogram constants */ static constexpr uint32_t knumHistogramBins = 256; Agc::Agc() - : minShutterSpeed_(0s), maxShutterSpeed_(0s) + : minExposureTime_(0s), maxExposureTime_(0s) { } @@ -100,9 +101,9 @@ int Agc::configure(IPAContext &context, stride_ = configuration.grid.stride; bdsGrid_ = configuration.grid.bdsGrid; - minShutterSpeed_ = configuration.agc.minShutterSpeed; - maxShutterSpeed_ = std::min(configuration.agc.maxShutterSpeed, - kMaxShutterSpeed); + minExposureTime_ = configuration.agc.minExposureTime; + maxExposureTime_ = std::min(configuration.agc.maxExposureTime, + kMaxExposureTime); minAnalogueGain_ = std::max(configuration.agc.minAnalogueGain, kMinAnalogueGain); maxAnalogueGain_ = configuration.agc.maxAnalogueGain; @@ -115,7 +116,7 @@ int Agc::configure(IPAContext &context, context.activeState.agc.exposureMode = exposureModeHelpers().begin()->first; /* \todo Run this again when FrameDurationLimits is passed in */ - setLimits(minShutterSpeed_, maxShutterSpeed_, minAnalogueGain_, + setLimits(minExposureTime_, maxExposureTime_, minAnalogueGain_, maxAnalogueGain_); resetFrameCount(); @@ -177,18 +178,16 @@ Histogram Agc::parseStatistics(const ipu3_uapi_stats_3a *stats, */ double Agc::estimateLuminance(double gain) const { - double redSum = 0, greenSum = 0, blueSum = 0; + RGB<double> sum{ 0.0 }; for (unsigned int i = 0; i < rgbTriples_.size(); i++) { - redSum += std::min(std::get<0>(rgbTriples_[i]) * gain, 255.0); - greenSum += std::min(std::get<1>(rgbTriples_[i]) * gain, 255.0); - blueSum += std::min(std::get<2>(rgbTriples_[i]) * gain, 255.0); + sum.r() += std::min(std::get<0>(rgbTriples_[i]) * gain, 255.0); + sum.g() += std::min(std::get<1>(rgbTriples_[i]) * gain, 255.0); + sum.b() += std::min(std::get<2>(rgbTriples_[i]) * gain, 255.0); } - double ySum = redSum * rGain_ * 0.299 - + greenSum * gGain_ * 0.587 - + blueSum * bGain_ * 0.114; - + RGB<double> gains{{ rGain_, gGain_, bGain_ }}; + double ySum = rec601LuminanceFromRGB(sum * gains); return ySum / (bdsGrid_.height * bdsGrid_.width) / 255; } @@ -222,20 +221,20 @@ void Agc::process(IPAContext &context, [[maybe_unused]] const uint32_t frame, double analogueGain = frameContext.sensor.gain; utils::Duration effectiveExposureValue = exposureTime * analogueGain; - utils::Duration shutterTime; + utils::Duration newExposureTime; double aGain, dGain; - std::tie(shutterTime, aGain, dGain) = + std::tie(newExposureTime, aGain, dGain) = calculateNewEv(context.activeState.agc.constraintMode, context.activeState.agc.exposureMode, hist, effectiveExposureValue); LOG(IPU3Agc, Debug) - << "Divided up shutter, analogue gain and digital gain are " - << shutterTime << ", " << aGain << " and " << dGain; + << "Divided up exposure time, analogue gain and digital gain are " + << newExposureTime << ", " << aGain << " and " << dGain; IPAActiveState &activeState = context.activeState; - /* Update the estimated exposure and gain. */ - activeState.agc.exposure = shutterTime / context.configuration.sensor.lineDuration; + /* Update the estimated exposure time and gain. */ + activeState.agc.exposure = newExposureTime / context.configuration.sensor.lineDuration; activeState.agc.gain = aGain; metadata.set(controls::AnalogueGain, frameContext.sensor.gain); @@ -247,7 +246,6 @@ void Agc::process(IPAContext &context, [[maybe_unused]] const uint32_t frame, utils::Duration frameDuration = context.configuration.sensor.lineDuration * vTotal; metadata.set(controls::FrameDuration, frameDuration.get<std::micro>()); - } REGISTER_IPA_ALGORITHM(Agc, "Agc") diff --git a/src/ipa/ipu3/algorithms/agc.h b/src/ipa/ipu3/algorithms/agc.h index 411f4da0..890c271b 100644 --- a/src/ipa/ipu3/algorithms/agc.h +++ b/src/ipa/ipu3/algorithms/agc.h @@ -42,8 +42,8 @@ private: Histogram parseStatistics(const ipu3_uapi_stats_3a *stats, const ipu3_uapi_grid_config &grid); - utils::Duration minShutterSpeed_; - utils::Duration maxShutterSpeed_; + utils::Duration minExposureTime_; + utils::Duration maxExposureTime_; double minAnalogueGain_; double maxAnalogueGain_; diff --git a/src/ipa/ipu3/algorithms/awb.cpp b/src/ipa/ipu3/algorithms/awb.cpp index 4d6e3994..55de05d9 100644 --- a/src/ipa/ipu3/algorithms/awb.cpp +++ b/src/ipa/ipu3/algorithms/awb.cpp @@ -13,6 +13,8 @@ #include <libcamera/control_ids.h> +#include "libipa/colours.h" + /** * \file awb.h */ @@ -301,51 +303,24 @@ void Awb::prepare(IPAContext &context, params->use.acc_ccm = 1; } -/** - * The function estimates the correlated color temperature using - * from RGB color space input. - * In physics and color science, the Planckian locus or black body locus is - * the path or locus that the color of an incandescent black body would take - * in a particular chromaticity space as the blackbody temperature changes. - * - * If a narrow range of color temperatures is considered (those encapsulating - * daylight being the most practical case) one can approximate the Planckian - * locus in order to calculate the CCT in terms of chromaticity coordinates. - * - * More detailed information can be found in: - * https://en.wikipedia.org/wiki/Color_temperature#Approximation - */ -uint32_t Awb::estimateCCT(double red, double green, double blue) -{ - /* Convert the RGB values to CIE tristimulus values (XYZ) */ - double X = (-0.14282) * (red) + (1.54924) * (green) + (-0.95641) * (blue); - double Y = (-0.32466) * (red) + (1.57837) * (green) + (-0.73191) * (blue); - double Z = (-0.68202) * (red) + (0.77073) * (green) + (0.56332) * (blue); - - /* Calculate the normalized chromaticity values */ - double x = X / (X + Y + Z); - double y = Y / (X + Y + Z); - - /* Calculate CCT */ - double n = (x - 0.3320) / (0.1858 - y); - return 449 * n * n * n + 3525 * n * n + 6823.3 * n + 5520.33; -} - /* Generate an RGB vector with the average values for each zone */ void Awb::generateZones() { zones_.clear(); for (unsigned int i = 0; i < kAwbStatsSizeX * kAwbStatsSizeY; i++) { - RGB zone; double counted = awbStats_[i].counted; if (counted >= cellsPerZoneThreshold_) { - zone.G = awbStats_[i].sum.green / counted; - if (zone.G >= kMinGreenLevelInZone) { - zone.R = awbStats_[i].sum.red / counted; - zone.B = awbStats_[i].sum.blue / counted; + RGB<double> zone{{ + static_cast<double>(awbStats_[i].sum.red), + static_cast<double>(awbStats_[i].sum.green), + static_cast<double>(awbStats_[i].sum.blue) + }}; + + zone /= counted; + + if (zone.g() >= kMinGreenLevelInZone) zones_.push_back(zone); - } } } } @@ -412,32 +387,32 @@ void Awb::awbGreyWorld() * consider some variations, such as normalising all the zones first, or * doing an L2 average etc. */ - std::vector<RGB> &redDerivative(zones_); - std::vector<RGB> blueDerivative(redDerivative); + std::vector<RGB<double>> &redDerivative(zones_); + std::vector<RGB<double>> blueDerivative(redDerivative); std::sort(redDerivative.begin(), redDerivative.end(), - [](RGB const &a, RGB const &b) { - return a.G * b.R < b.G * a.R; + [](RGB<double> const &a, RGB<double> const &b) { + return a.g() * b.r() < b.g() * a.r(); }); std::sort(blueDerivative.begin(), blueDerivative.end(), - [](RGB const &a, RGB const &b) { - return a.G * b.B < b.G * a.B; + [](RGB<double> const &a, RGB<double> const &b) { + return a.g() * b.b() < b.g() * a.b(); }); /* Average the middle half of the values. */ int discard = redDerivative.size() / 4; - RGB sumRed(0, 0, 0); - RGB sumBlue(0, 0, 0); + RGB<double> sumRed{ 0.0 }; + RGB<double> sumBlue{ 0.0 }; for (auto ri = redDerivative.begin() + discard, bi = blueDerivative.begin() + discard; ri != redDerivative.end() - discard; ri++, bi++) sumRed += *ri, sumBlue += *bi; - double redGain = sumRed.G / (sumRed.R + 1), - blueGain = sumBlue.G / (sumBlue.B + 1); + double redGain = sumRed.g() / (sumRed.r() + 1), + blueGain = sumBlue.g() / (sumBlue.b() + 1); /* Color temperature is not relevant in Grey world but still useful to estimate it :-) */ - asyncResults_.temperatureK = estimateCCT(sumRed.R, sumRed.G, sumBlue.B); + asyncResults_.temperatureK = estimateCCT({{ sumRed.r(), sumRed.g(), sumBlue.b() }}); /* * Gain values are unsigned integer value ranging [0, 8) with 13 bit diff --git a/src/ipa/ipu3/algorithms/awb.h b/src/ipa/ipu3/algorithms/awb.h index c0202823..dbf69c90 100644 --- a/src/ipa/ipu3/algorithms/awb.h +++ b/src/ipa/ipu3/algorithms/awb.h @@ -13,6 +13,8 @@ #include <libcamera/geometry.h> +#include "libcamera/internal/vector.h" + #include "algorithm.h" namespace libcamera { @@ -48,20 +50,6 @@ public: ControlList &metadata) override; private: - /* \todo Make these structs available to all the ISPs ? */ - struct RGB { - RGB(double _R = 0, double _G = 0, double _B = 0) - : R(_R), G(_G), B(_B) - { - } - double R, G, B; - RGB &operator+=(RGB const &other) - { - R += other.R, G += other.G, B += other.B; - return *this; - } - }; - struct AwbStatus { double temperatureK; double redGain; @@ -75,11 +63,10 @@ private: void generateAwbStats(const ipu3_uapi_stats_3a *stats); void clearAwbStats(); void awbGreyWorld(); - uint32_t estimateCCT(double red, double green, double blue); static constexpr uint16_t threshold(float value); static constexpr uint16_t gainValue(double gain); - std::vector<RGB> zones_; + std::vector<RGB<double>> zones_; Accumulator awbStats_[kAwbStatsSizeX * kAwbStatsSizeY]; AwbStatus asyncResults_; diff --git a/src/ipa/ipu3/algorithms/blc.cpp b/src/ipa/ipu3/algorithms/blc.cpp index 257f40e2..35748fb2 100644 --- a/src/ipa/ipu3/algorithms/blc.cpp +++ b/src/ipa/ipu3/algorithms/blc.cpp @@ -7,8 +7,6 @@ #include "blc.h" -#include <string.h> - /** * \file blc.h * \brief IPU3 Black Level Correction control @@ -57,8 +55,8 @@ void BlackLevelCorrection::prepare([[maybe_unused]] IPAContext &context, * tuning processes. This is a first rough approximation. */ params->obgrid_param.gr = 64; - params->obgrid_param.r = 64; - params->obgrid_param.b = 64; + params->obgrid_param.r = 64; + params->obgrid_param.b = 64; params->obgrid_param.gb = 64; /* Enable the custom black level correction processing */ diff --git a/src/ipa/ipu3/ipa_context.cpp b/src/ipa/ipu3/ipa_context.cpp index 917d0654..3b22f791 100644 --- a/src/ipa/ipu3/ipa_context.cpp +++ b/src/ipa/ipu3/ipa_context.cpp @@ -39,6 +39,10 @@ namespace libcamera::ipa::ipu3 { * \struct IPAContext * \brief Global IPA context data shared between all algorithms * + * \fn IPAContext::IPAContext + * \brief Initialize the instance with the given number of frame contexts + * \param[in] frameContextSize Size of the frame context ring buffer + * * \var IPAContext::configuration * \brief The IPA session configuration, immutable during the session * @@ -92,11 +96,11 @@ namespace libcamera::ipa::ipu3 { * \var IPASessionConfiguration::agc * \brief AGC parameters configuration of the IPA * - * \var IPASessionConfiguration::agc.minShutterSpeed - * \brief Minimum shutter speed supported with the configured sensor + * \var IPASessionConfiguration::agc.minExposureTime + * \brief Minimum exposure time supported with the configured sensor * - * \var IPASessionConfiguration::agc.maxShutterSpeed - * \brief Maximum shutter speed supported with the configured sensor + * \var IPASessionConfiguration::agc.maxExposureTime + * \brief Maximum exposure time supported with the configured sensor * * \var IPASessionConfiguration::agc.minAnalogueGain * \brief Minimum analogue gain supported with the configured sensor diff --git a/src/ipa/ipu3/ipa_context.h b/src/ipa/ipu3/ipa_context.h index c85d1e34..97fcf06c 100644 --- a/src/ipa/ipu3/ipa_context.h +++ b/src/ipa/ipu3/ipa_context.h @@ -33,8 +33,8 @@ struct IPASessionConfiguration { } af; struct { - utils::Duration minShutterSpeed; - utils::Duration maxShutterSpeed; + utils::Duration minExposureTime; + utils::Duration maxExposureTime; double minAnalogueGain; double maxAnalogueGain; } agc; @@ -84,6 +84,11 @@ struct IPAFrameContext : public FrameContext { }; struct IPAContext { + IPAContext(unsigned int frameContextSize) + : frameContexts(frameContextSize) + { + } + IPASessionConfiguration configuration; IPAActiveState activeState; diff --git a/src/ipa/ipu3/ipu3-ipa-design-guide.rst b/src/ipa/ipu3/ipu3-ipa-design-guide.rst index 72506397..85d735c6 100644 --- a/src/ipa/ipu3/ipu3-ipa-design-guide.rst +++ b/src/ipa/ipu3/ipu3-ipa-design-guide.rst @@ -27,8 +27,8 @@ from applications, and managing events from the pipeline handler. └─┬───┬───┬──────┬────┬────┬────┬─┴────▼─┬──┘ 1: init() │ │ │ │ ▲ │ ▲ │ ▲ │ ▲ │ 2: configure() │1 │2 │3 │4│ │4│ │4│ │4│ │5 3: mapBuffers(), start() - │ │ │ │ │ │ │ │ │ │ │ │ 4: (▼) queueRequest(), fillParamsBuffer(), processStatsBuffer() - ▼ ▼ ▼ ▼ │ ▼ │ ▼ │ ▼ │ ▼ (▲) setSensorControls, paramsBufferReady, metadataReady Signals + │ │ │ │ │ │ │ │ │ │ │ │ 4: (▼) queueRequest(), computeParams(), processStats() + ▼ ▼ ▼ ▼ │ ▼ │ ▼ │ ▼ │ ▼ (▲) setSensorControls, paramsComputed, metadataReady Signals ┌──────────────────┴────┴────┴────┴─────────┐ 5: stop(), unmapBuffers() │ IPU3 IPA │ │ ┌───────────────────────┐ │ @@ -104,8 +104,8 @@ to operate when running: - configure() - queueRequest() -- fillParamsBuffer() -- processStatsBuffer() +- computeParams() +- processStats() The configuration phase allows the pipeline-handler to inform the IPA of the current stream configurations, which is then passed into each @@ -119,7 +119,7 @@ When configured, the IPA is notified by the pipeline handler of the Camera ``start()`` event, after which incoming requests will be queued for processing, requiring a parameter buffer (``ipu3_uapi_params``) to be populated for the ImgU. This is given to the IPA through -``fillParamsBuffer()``, and then passed directly to each algorithm +``computeParams()``, and then passed directly to each algorithm through the ``prepare()`` call allowing the ISP configuration to be updated for the needs of each component that the algorithm is responsible for. @@ -129,7 +129,7 @@ structure that it modifies, and it should take care to ensure that any structure set by a use flag is fully initialised to suitable values. The parameter buffer is returned to the pipeline handler through the -``paramsBufferReady`` signal, and from there queued to the ImgU along +``paramsComputed`` signal, and from there queued to the ImgU along with a raw frame captured with the CIO2. Post-frame completion @@ -138,7 +138,7 @@ Post-frame completion When the capture of an image is completed, and successfully processed through the ImgU, the generated statistics buffer (``ipu3_uapi_stats_3a``) is given to the IPA through -``processStatsBuffer()``. This provides the IPA with an opportunity to +``processStats()``. This provides the IPA with an opportunity to examine the results of the ISP and run the calculations required by each algorithm on the new data. The algorithms may require context from the operations of other algorithms, for example, the AWB might choose to use diff --git a/src/ipa/ipu3/ipu3.cpp b/src/ipa/ipu3/ipu3.cpp index cdcdf1fb..1cae08bf 100644 --- a/src/ipa/ipu3/ipu3.cpp +++ b/src/ipa/ipu3/ipu3.cpp @@ -23,24 +23,22 @@ #include <libcamera/base/utils.h> #include <libcamera/control_ids.h> +#include <libcamera/controls.h> #include <libcamera/framebuffer.h> +#include <libcamera/geometry.h> +#include <libcamera/request.h> + #include <libcamera/ipa/ipa_interface.h> #include <libcamera/ipa/ipa_module_info.h> #include <libcamera/ipa/ipu3_ipa_interface.h> -#include <libcamera/request.h> #include "libcamera/internal/mapped_framebuffer.h" #include "libcamera/internal/yaml_parser.h" -#include "algorithms/af.h" -#include "algorithms/agc.h" -#include "algorithms/algorithm.h" -#include "algorithms/awb.h" -#include "algorithms/blc.h" -#include "algorithms/tone_mapping.h" #include "libipa/camera_sensor_helper.h" #include "ipa_context.h" +#include "module.h" /* Minimum grid width, expressed as a number of cells */ static constexpr uint32_t kMinGridWidth = 16; @@ -89,14 +87,14 @@ namespace ipa::ipu3 { * parameter buffer, and adapting the settings of the sensor attached to the * IPU3 CIO2 through sensor-specific V4L2 controls. * - * In fillParamsBuffer(), we populate the ImgU parameter buffer with + * In computeParams(), we populate the ImgU parameter buffer with * settings to configure the device in preparation for handling the frame * queued in the Request. * * When the frame has completed processing, the ImgU will generate a statistics - * buffer which is given to the IPA with processStatsBuffer(). In this we run the + * buffer which is given to the IPA with processStats(). In this we run the * algorithms to parse the statistics and cache any results for the next - * fillParamsBuffer() call. + * computeParams() call. * * The individual algorithms are split into modular components that are called * iteratively to allow them to process statistics from the ImgU in the order @@ -114,7 +112,7 @@ namespace ipa::ipu3 { * blue gains to apply to generate a neutral grey frame overall. * * AGC is handled by calculating a histogram of the green channel to estimate an - * analogue gain and shutter time which will provide a well exposed frame. A + * analogue gain and exposure time which will provide a well exposed frame. A * low-pass IIR filter is used to smooth the changes to the sensor to reduce * perceivable steps. * @@ -157,10 +155,10 @@ public: void unmapBuffers(const std::vector<unsigned int> &ids) override; void queueRequest(const uint32_t frame, const ControlList &controls) override; - void fillParamsBuffer(const uint32_t frame, const uint32_t bufferId) override; - void processStatsBuffer(const uint32_t frame, const int64_t frameTimestamp, - const uint32_t bufferId, - const ControlList &sensorControls) override; + void computeParams(const uint32_t frame, const uint32_t bufferId) override; + void processStats(const uint32_t frame, const int64_t frameTimestamp, + const uint32_t bufferId, + const ControlList &sensorControls) override; protected: std::string logPrefix() const override; @@ -189,7 +187,7 @@ private: }; IPAIPU3::IPAIPU3() - : context_({ {}, {}, { kMaxFrameContexts }, {} }) + : context_(kMaxFrameContexts) { } @@ -217,13 +215,13 @@ void IPAIPU3::updateSessionConfiguration(const ControlInfoMap &sensorControls) /* * When the AGC computes the new exposure values for a frame, it needs - * to know the limits for shutter speed and analogue gain. + * to know the limits for exposure time and analogue gain. * As it depends on the sensor, update it with the controls. * - * \todo take VBLANK into account for maximum shutter speed + * \todo take VBLANK into account for maximum exposure time */ - context_.configuration.agc.minShutterSpeed = minExposure * context_.configuration.sensor.lineDuration; - context_.configuration.agc.maxShutterSpeed = maxExposure * context_.configuration.sensor.lineDuration; + context_.configuration.agc.minExposureTime = minExposure * context_.configuration.sensor.lineDuration; + context_.configuration.agc.maxExposureTime = maxExposure * context_.configuration.sensor.lineDuration; context_.configuration.agc.minAnalogueGain = camHelper_->gain(minGain); context_.configuration.agc.maxAnalogueGain = camHelper_->gain(maxGain); } @@ -313,8 +311,8 @@ int IPAIPU3::init(const IPASettings &settings, /* Clean context */ context_.configuration = {}; - context_.configuration.sensor.lineDuration = sensorInfo.minLineLength - * 1.0s / sensorInfo.pixelRate; + context_.configuration.sensor.lineDuration = + sensorInfo.minLineLength * 1.0s / sensorInfo.pixelRate; /* Load the tuning data file. */ File file(settings.configurationFile); @@ -477,8 +475,8 @@ int IPAIPU3::configure(const IPAConfigInfo &configInfo, context_.frameContexts.clear(); /* Initialise the sensor configuration. */ - context_.configuration.sensor.lineDuration = sensorInfo_.minLineLength - * 1.0s / sensorInfo_.pixelRate; + context_.configuration.sensor.lineDuration = + sensorInfo_.minLineLength * 1.0s / sensorInfo_.pixelRate; context_.configuration.sensor.size = sensorInfo_.outputSize; /* @@ -540,7 +538,7 @@ void IPAIPU3::unmapBuffers(const std::vector<unsigned int> &ids) * Algorithms are expected to fill the IPU3 parameter buffer for the next * frame given their most recent processing of the ImgU statistics. */ -void IPAIPU3::fillParamsBuffer(const uint32_t frame, const uint32_t bufferId) +void IPAIPU3::computeParams(const uint32_t frame, const uint32_t bufferId) { auto it = buffers_.find(bufferId); if (it == buffers_.end()) { @@ -568,7 +566,7 @@ void IPAIPU3::fillParamsBuffer(const uint32_t frame, const uint32_t bufferId) for (auto const &algo : algorithms()) algo->prepare(context_, frame, frameContext, params); - paramsBufferReady.emit(frame); + paramsComputed.emit(frame); } /** @@ -582,9 +580,9 @@ void IPAIPU3::fillParamsBuffer(const uint32_t frame, const uint32_t bufferId) * statistics are passed to each algorithm module to run their calculations and * update their state accordingly. */ -void IPAIPU3::processStatsBuffer(const uint32_t frame, - [[maybe_unused]] const int64_t frameTimestamp, - const uint32_t bufferId, const ControlList &sensorControls) +void IPAIPU3::processStats(const uint32_t frame, + [[maybe_unused]] const int64_t frameTimestamp, + const uint32_t bufferId, const ControlList &sensorControls) { auto it = buffers_.find(bufferId); if (it == buffers_.end()) { diff --git a/src/ipa/libipa/agc_mean_luminance.cpp b/src/ipa/libipa/agc_mean_luminance.cpp index f97ef117..f617fde8 100644 --- a/src/ipa/libipa/agc_mean_luminance.cpp +++ b/src/ipa/libipa/agc_mean_luminance.cpp @@ -89,10 +89,10 @@ static constexpr double kDefaultRelativeLuminanceTarget = 0.16; * \class AgcMeanLuminance * \brief A mean-based auto-exposure algorithm * - * This algorithm calculates a shutter time, analogue and digital gain such that - * the normalised mean luminance value of an image is driven towards a target, - * which itself is discovered from tuning data. The algorithm is a two-stage - * process. + * This algorithm calculates an exposure time, analogue and digital gain such + * that the normalised mean luminance value of an image is driven towards a + * target, which itself is discovered from tuning data. The algorithm is a + * two-stage process. * * In the first stage, an initial gain value is derived by iteratively comparing * the gain-adjusted mean luminance across the entire image against a target, @@ -109,7 +109,7 @@ static constexpr double kDefaultRelativeLuminanceTarget = 0.16; * stage is then clamped to the gain from this stage. * * The final gain is used to adjust the effective exposure value of the image, - * and that new exposure value is divided into shutter time, analogue gain and + * and that new exposure value is divided into exposure time, analogue gain and * digital gain according to the selected AeExposureMode. This class uses the * \ref ExposureModeHelper class to assist in that division, and expects the * data needed to initialise that class to be present in tuning data in a @@ -247,27 +247,27 @@ int AgcMeanLuminance::parseExposureModes(const YamlObject &tuningData) return -EINVAL; } - std::vector<uint32_t> shutters = - modeValues["shutter"].getList<uint32_t>().value_or(std::vector<uint32_t>{}); + std::vector<uint32_t> exposureTimes = + modeValues["exposureTime"].getList<uint32_t>().value_or(std::vector<uint32_t>{}); std::vector<double> gains = modeValues["gain"].getList<double>().value_or(std::vector<double>{}); - if (shutters.size() != gains.size()) { + if (exposureTimes.size() != gains.size()) { LOG(AgcMeanLuminance, Error) - << "Shutter and gain array sizes unequal"; + << "Exposure time and gain array sizes unequal"; return -EINVAL; } - if (shutters.empty()) { + if (exposureTimes.empty()) { LOG(AgcMeanLuminance, Error) - << "Shutter and gain arrays are empty"; + << "Exposure time and gain arrays are empty"; return -EINVAL; } std::vector<std::pair<utils::Duration, double>> stages; - for (unsigned int i = 0; i < shutters.size(); i++) { + for (unsigned int i = 0; i < exposureTimes.size(); i++) { stages.push_back({ - std::chrono::microseconds(shutters[i]), + std::chrono::microseconds(exposureTimes[i]), gains[i] }); } @@ -283,7 +283,7 @@ int AgcMeanLuminance::parseExposureModes(const YamlObject &tuningData) /* * If we don't have any exposure modes in the tuning data we create an * ExposureModeHelper using an empty vector of stages. This will result - * in the ExposureModeHelper simply driving the shutter as high as + * in the ExposureModeHelper simply driving the exposure time as high as * possible before touching gain. */ if (availableExposureModes.empty()) { @@ -338,18 +338,18 @@ int AgcMeanLuminance::parseExposureModes(const YamlObject &tuningData) * For the AeExposureMode control the data should contain a dictionary called * AeExposureMode containing per-mode setting dictionaries with the key being a * value from \ref controls::AeExposureModeNameValueMap. Each mode dict should - * contain an array of shutter times with the key "shutter" and an array of gain - * values with the key "gain", in this format: + * contain an array of exposure times with the key "exposureTime" and an array + * of gain values with the key "gain", in this format: * * \code{.unparsed} * algorithms: * - Agc: * AeExposureMode: * ExposureNormal: - * shutter: [ 100, 10000, 30000, 60000, 120000 ] + * exposureTime: [ 100, 10000, 30000, 60000, 120000 ] * gain: [ 2.0, 4.0, 6.0, 8.0, 10.0 ] * ExposureShort: - * shutter: [ 100, 10000, 30000, 60000, 120000 ] + * exposureTime: [ 100, 10000, 30000, 60000, 120000 ] * gain: [ 2.0, 4.0, 6.0, 8.0, 10.0 ] * * \endcode @@ -371,20 +371,20 @@ int AgcMeanLuminance::parseTuningData(const YamlObject &tuningData) /** * \brief Set the ExposureModeHelper limits for this class - * \param[in] minShutter Minimum shutter time to allow - * \param[in] maxShutter Maximum shutter time to allow + * \param[in] minExposureTime Minimum exposure time to allow + * \param[in] maxExposureTime Maximum ewposure time to allow * \param[in] minGain Minimum gain to allow * \param[in] maxGain Maximum gain to allow * * This function calls \ref ExposureModeHelper::setLimits() for each * ExposureModeHelper that has been created for this class. */ -void AgcMeanLuminance::setLimits(utils::Duration minShutter, - utils::Duration maxShutter, +void AgcMeanLuminance::setLimits(utils::Duration minExposureTime, + utils::Duration maxExposureTime, double minGain, double maxGain) { for (auto &[id, helper] : exposureModeHelpers_) - helper->setLimits(minShutter, maxShutter, minGain, maxGain); + helper->setLimits(minExposureTime, maxExposureTime, minGain, maxGain); } /** @@ -513,7 +513,8 @@ utils::Duration AgcMeanLuminance::filterExposure(utils::Duration exposureValue) } /** - * \brief Calculate the new exposure value and splut it between shutter time and gain + * \brief Calculate the new exposure value and splut it between exposure time + * and gain * \param[in] constraintModeIndex The index of the current constraint mode * \param[in] exposureModeIndex The index of the current exposure mode * \param[in] yHist A Histogram from the ISP statistics to use in constraining @@ -523,9 +524,9 @@ utils::Duration AgcMeanLuminance::filterExposure(utils::Duration exposureValue) * * Calculate a new exposure value to try to obtain the target. The calculated * exposure value is filtered to prevent rapid changes from frame to frame, and - * divided into shutter time, analogue and digital gain. + * divided into exposure time, analogue and digital gain. * - * \return Tuple of shutter time, analogue gain, and digital gain + * \return Tuple of exposure time, analogue gain, and digital gain */ std::tuple<utils::Duration, double, double> AgcMeanLuminance::calculateNewEv(uint32_t constraintModeIndex, @@ -540,6 +541,18 @@ AgcMeanLuminance::calculateNewEv(uint32_t constraintModeIndex, std::shared_ptr<ExposureModeHelper> exposureModeHelper = exposureModeHelpers_.at(exposureModeIndex); + if (effectiveExposureValue == 0s) { + LOG(AgcMeanLuminance, Error) + << "Effective exposure value is 0. This is a bug in AGC " + "and must be fixed for proper operation."; + /* + * Return an arbitrary exposure time > 0 to ensure regulation + * doesn't get stuck with 0 in case the sensor driver allows a + * min exposure of 0. + */ + return exposureModeHelper->splitExposure(10ms); + } + double gain = estimateInitialGain(); gain = constraintClampGain(constraintModeIndex, yHist, gain); diff --git a/src/ipa/libipa/agc_mean_luminance.h b/src/ipa/libipa/agc_mean_luminance.h index 576d28be..c41391cb 100644 --- a/src/ipa/libipa/agc_mean_luminance.h +++ b/src/ipa/libipa/agc_mean_luminance.h @@ -44,7 +44,7 @@ public: int parseTuningData(const YamlObject &tuningData); - void setLimits(utils::Duration minShutter, utils::Duration maxShutter, + void setLimits(utils::Duration minExposureTime, utils::Duration maxExposureTime, double minGain, double maxGain); std::map<int32_t, std::vector<AgcConstraint>> constraintModes() diff --git a/src/ipa/libipa/awb.cpp b/src/ipa/libipa/awb.cpp new file mode 100644 index 00000000..925fac23 --- /dev/null +++ b/src/ipa/libipa/awb.cpp @@ -0,0 +1,265 @@ +/* SPDX-License-Identifier: LGPL-2.1-or-later */ +/* + * Copyright (C) 2024 Ideas on Board Oy + * + * Generic AWB algorithms + */ + +#include "awb.h" + +#include <libcamera/base/log.h> + +#include <libcamera/control_ids.h> + +/** + * \file awb.h + * \brief Base classes for AWB algorithms + */ + +namespace libcamera { + +LOG_DEFINE_CATEGORY(Awb) + +namespace ipa { + +/** + * \class AwbResult + * \brief The result of an AWB calculation + * + * This class holds the result of an auto white balance calculation. + */ + +/** + * \var AwbResult::gains + * \brief The calculated white balance gains + */ + +/** + * \var AwbResult::colourTemperature + * \brief The calculated colour temperature in Kelvin + */ + +/** + * \class AwbStats + * \brief An abstraction class wrapping hardware-specific AWB statistics + * + * IPA modules using an AWB algorithm based on the AwbAlgorithm class need to + * implement this class to give the algorithm access to the hardware-specific + * statistics data. + */ + +/** + * \fn AwbStats::computeColourError() + * \brief Compute an error value for when the given gains would be applied + * \param[in] gains The gains to apply + * + * Compute an error value (non-greyness) assuming the given \a gains would be + * applied. To keep the actual implementations computationally inexpensive, + * the squared colour error shall be returned. + * + * If the AWB statistics provide multiple zones, the average of the individual + * squared errors shall be returned. Averaging/normalizing is necessary so that + * the numeric dimensions are the same on all hardware platforms. + * + * \return The computed error value + */ + +/** + * \fn AwbStats::rgbMeans() + * \brief Get RGB means of the statistics + * + * Fetch the RGB means from the statistics. The values of each channel are + * dimensionless and only the ratios are used for further calculations. This is + * used by the simple grey world model to calculate the gains to apply. + * + * \return The RGB means + */ + +/** + * \class AwbAlgorithm + * \brief A base class for auto white balance algorithms + * + * This class is a base class for auto white balance algorithms. It defines an + * interface for the algorithms to implement, and is used by the IPAs to + * interact with the concrete implementation. + */ + +/** + * \fn AwbAlgorithm::init() + * \brief Initialize the algorithm with the given tuning data + * \param[in] tuningData The tuning data to use for the algorithm + * + * \return 0 on success, a negative error code otherwise + */ + +/** + * \fn AwbAlgorithm::calculateAwb() + * \brief Calculate AWB data from the given statistics + * \param[in] stats The statistics to use for the calculation + * \param[in] lux The lux value of the scene + * + * Calculate an AwbResult object from the given statistics and lux value. A \a + * lux value of 0 means it is unknown or invalid and the algorithm shall ignore + * it. + * + * \return The AWB result + */ + +/** + * \fn AwbAlgorithm::gainsFromColourTemperature() + * \brief Compute white balance gains from a colour temperature + * \param[in] colourTemperature The colour temperature in Kelvin + * + * Compute the white balance gains from a \a colourTemperature. This function + * does not take any statistics into account. It is used to compute the colour + * gains when the user manually specifies a colour temperature. + * + * \return The colour gains + */ + +/** + * \fn AwbAlgorithm::controls() + * \brief Get the controls info map for this algorithm + * + * \return The controls info map + */ + +/** + * \fn AwbAlgorithm::handleControls() + * \param[in] controls The controls to handle + * \brief Handle the controls supplied in a request + */ + +/** + * \brief Parse the mode configurations from the tuning data + * \param[in] tuningData the YamlObject representing the tuning data + * \param[in] def The default value for the AwbMode control + * + * Utility function to parse the tuning data for an AwbMode entry and read all + * provided modes. It adds controls::AwbMode to AwbAlgorithm::controls_ and + * populates AwbAlgorithm::modes_. For a list of possible modes see \ref + * controls::AwbModeEnum. + * + * Each mode entry must contain a "lo" and "hi" key to specify the lower and + * upper colour temperature of that mode. For example: + * + * \code{.unparsed} + * algorithms: + * - Awb: + * AwbMode: + * AwbAuto: + * lo: 2500 + * hi: 8000 + * AwbIncandescent: + * lo: 2500 + * hi: 3000 + * ... + * \endcode + * + * If \a def is supplied but not contained in the the \a tuningData, -EINVAL is + * returned. + * + * \sa controls::AwbModeEnum + * \return Zero on success, negative error code otherwise + */ +int AwbAlgorithm::parseModeConfigs(const YamlObject &tuningData, + const ControlValue &def) +{ + std::vector<ControlValue> availableModes; + + const YamlObject &yamlModes = tuningData[controls::AwbMode.name()]; + if (!yamlModes.isDictionary()) { + LOG(Awb, Error) + << "AwbModes must be a dictionary."; + return -EINVAL; + } + + for (const auto &[modeName, modeDict] : yamlModes.asDict()) { + if (controls::AwbModeNameValueMap.find(modeName) == + controls::AwbModeNameValueMap.end()) { + LOG(Awb, Warning) + << "Skipping unknown AWB mode '" + << modeName << "'"; + continue; + } + + if (!modeDict.isDictionary()) { + LOG(Awb, Error) + << "Invalid AWB mode '" << modeName << "'"; + return -EINVAL; + } + + const auto &modeValue = static_cast<controls::AwbModeEnum>( + controls::AwbModeNameValueMap.at(modeName)); + + ModeConfig &config = modes_[modeValue]; + + auto hi = modeDict["hi"].get<double>(); + if (!hi) { + LOG(Awb, Error) << "Failed to read hi param of mode " + << modeName; + return -EINVAL; + } + config.ctHi = *hi; + + auto lo = modeDict["lo"].get<double>(); + if (!lo) { + LOG(Awb, Error) << "Failed to read low param of mode " + << modeName; + return -EINVAL; + } + config.ctLo = *lo; + + availableModes.push_back(modeValue); + } + + if (modes_.empty()) { + LOG(Awb, Error) << "No AWB modes configured"; + return -EINVAL; + } + + if (!def.isNone() && + modes_.find(def.get<controls::AwbModeEnum>()) == modes_.end()) { + const auto &names = controls::AwbMode.enumerators(); + LOG(Awb, Error) << names.at(def.get<controls::AwbModeEnum>()) + << " mode is missing in the configuration."; + return -EINVAL; + } + + controls_[&controls::AwbMode] = ControlInfo(availableModes, def); + + return 0; +} + +/** + * \class AwbAlgorithm::ModeConfig + * \brief Holds the configuration of a single AWB mode + * + * AWB modes limit the regulation of the AWB algorithm to a specific range of + * colour temperatures. + */ + +/** + * \var AwbAlgorithm::ModeConfig::ctLo + * \brief The lowest valid colour temperature of that mode + */ + +/** + * \var AwbAlgorithm::ModeConfig::ctHi + * \brief The highest valid colour temperature of that mode + */ + +/** + * \var AwbAlgorithm::controls_ + * \brief Controls info map for the controls provided by the algorithm + */ + +/** + * \var AwbAlgorithm::modes_ + * \brief Map of all configured modes + * \sa AwbAlgorithm::parseModeConfigs + */ + +} /* namespace ipa */ + +} /* namespace libcamera */ diff --git a/src/ipa/libipa/awb.h b/src/ipa/libipa/awb.h new file mode 100644 index 00000000..4bab7a45 --- /dev/null +++ b/src/ipa/libipa/awb.h @@ -0,0 +1,66 @@ +/* SPDX-License-Identifier: LGPL-2.1-or-later */ +/* + * Copyright (C) 2024 Ideas on Board Oy + * + * Generic AWB algorithms + */ + +#pragma once + +#include <map> + +#include <libcamera/control_ids.h> +#include <libcamera/controls.h> + +#include "libcamera/internal/vector.h" +#include "libcamera/internal/yaml_parser.h" + +namespace libcamera { + +namespace ipa { + +struct AwbResult { + RGB<double> gains; + double colourTemperature; +}; + +struct AwbStats { + virtual double computeColourError(const RGB<double> &gains) const = 0; + virtual RGB<double> rgbMeans() const = 0; + +protected: + ~AwbStats() = default; +}; + +class AwbAlgorithm +{ +public: + virtual ~AwbAlgorithm() = default; + + virtual int init(const YamlObject &tuningData) = 0; + virtual AwbResult calculateAwb(const AwbStats &stats, unsigned int lux) = 0; + virtual RGB<double> gainsFromColourTemperature(double colourTemperature) = 0; + + const ControlInfoMap::Map &controls() const + { + return controls_; + } + + virtual void handleControls([[maybe_unused]] const ControlList &controls) {} + +protected: + int parseModeConfigs(const YamlObject &tuningData, + const ControlValue &def = {}); + + struct ModeConfig { + double ctHi; + double ctLo; + }; + + ControlInfoMap::Map controls_; + std::map<controls::AwbModeEnum, AwbAlgorithm::ModeConfig> modes_; +}; + +} /* namespace ipa */ + +} /* namespace libcamera */ diff --git a/src/ipa/libipa/awb_bayes.cpp b/src/ipa/libipa/awb_bayes.cpp new file mode 100644 index 00000000..d1d0eaf0 --- /dev/null +++ b/src/ipa/libipa/awb_bayes.cpp @@ -0,0 +1,505 @@ +/* SPDX-License-Identifier: LGPL-2.1-or-later */ +/* + * Copyright (C) 2019, Raspberry Pi Ltd + * Copyright (C) 2024 Ideas on Board Oy + * + * Implementation of a bayesian AWB algorithm + */ + +#include "awb_bayes.h" + +#include <algorithm> +#include <cmath> +#include <limits> +#include <map> +#include <ostream> +#include <vector> + +#include <libcamera/base/log.h> +#include <libcamera/control_ids.h> + +#include "colours.h" + +/** + * \file awb_bayes.h + * \brief Implementation of bayesian auto white balance algorithm + * + * This implementation is based on the initial implementation done by + * RaspberryPi. + * + * \todo Documentation + * + * \todo Not all the features implemented by RaspberryPi were ported over to + * this algorithm because they either rely on hardware features not generally + * available or were considered not important enough at the moment. + * + * The following parts are not implemented: + * + * - min_pixels: minimum proportion of pixels counted within AWB region for it + * to be "useful" + * - min_g: minimum G value of those pixels, to be regarded a "useful" + * - min_regions: number of AWB regions that must be "useful" in order to do the + * AWB calculation + * - deltaLimit: clamp on colour error term (so as not to penalize non-grey + * excessively) + * - bias_proportion: The biasProportion parameter adds a small proportion of + * the counted pixels to a region biased to the biasCT colour temperature. + * A typical value for biasProportion would be between 0.05 to 0.1. + * - bias_ct: CT target for the search bias + * - sensitivityR: red sensitivity ratio (set to canonical sensor's R/G divided + * by this sensor's R/G) + * - sensitivityB: blue sensitivity ratio (set to canonical sensor's B/G divided + * by this sensor's B/G) + */ + +namespace libcamera { + +LOG_DECLARE_CATEGORY(Awb) + +namespace { + +template<typename T> +class LimitsRecorder +{ +public: + LimitsRecorder() + : min_(std::numeric_limits<T>::max()), + max_(std::numeric_limits<T>::min()) + { + } + + void record(const T &value) + { + min_ = std::min(min_, value); + max_ = std::max(max_, value); + } + + const T &min() const { return min_; } + const T &max() const { return max_; } + +private: + T min_; + T max_; +}; + +#ifndef __DOXYGEN__ +template<typename T> +std::ostream &operator<<(std::ostream &out, const LimitsRecorder<T> &v) +{ + out << "[ " << v.min() << ", " << v.max() << " ]"; + return out; +} +#endif + +} /* namespace */ + +namespace ipa { + +/** + * \brief Step size control for CT search + */ +constexpr double kSearchStep = 0.2; + +/** + * \copydoc libcamera::ipa::Interpolator::interpolate() + */ +template<> +void Interpolator<Pwl>::interpolate(const Pwl &a, const Pwl &b, Pwl &dest, double lambda) +{ + dest = Pwl::combine(a, b, + [=](double /*x*/, double y0, double y1) -> double { + return y0 * (1.0 - lambda) + y1 * lambda; + }); +} + +/** + * \class AwbBayes + * \brief Implementation of a bayesian auto white balance algorithm + * + * In a bayesian AWB algorithm the auto white balance estimation is improved by + * taking the likelihood of a given lightsource based on the estimated lux level + * into account. E.g. If it is very bright we can assume that we are outside and + * that colour temperatures around 6500 are preferred. + * + * The second part of this algorithm is the search for the most likely colour + * temperature. It is implemented in AwbBayes::coarseSearch() and in + * AwbBayes::fineSearch(). The search works very well without prior likelihoods + * and therefore the algorithm itself provides very good results even without + * prior likelihoods. + */ + +/** + * \var AwbBayes::transversePos_ + * \brief How far to wander off CT curve towards "more purple" + */ + +/** + * \var AwbBayes::transverseNeg_ + * \brief How far to wander off CT curve towards "more green" + */ + +/** + * \var AwbBayes::currentMode_ + * \brief The currently selected mode + */ + +int AwbBayes::init(const YamlObject &tuningData) +{ + int ret = colourGainCurve_.readYaml(tuningData["colourGains"], "ct", "gains"); + if (ret) { + LOG(Awb, Error) + << "Failed to parse 'colourGains' " + << "parameter from tuning file"; + return ret; + } + + ctR_.clear(); + ctB_.clear(); + for (const auto &[ct, g] : colourGainCurve_.data()) { + ctR_.append(ct, 1.0 / g[0]); + ctB_.append(ct, 1.0 / g[1]); + } + + /* We will want the inverse functions of these too. */ + ctRInverse_ = ctR_.inverse().first; + ctBInverse_ = ctB_.inverse().first; + + ret = readPriors(tuningData); + if (ret) { + LOG(Awb, Error) << "Failed to read priors"; + return ret; + } + + ret = parseModeConfigs(tuningData, controls::AwbAuto); + if (ret) { + LOG(Awb, Error) + << "Failed to parse mode parameter from tuning file"; + return ret; + } + currentMode_ = &modes_[controls::AwbAuto]; + + transversePos_ = tuningData["transversePos"].get<double>(0.01); + transverseNeg_ = tuningData["transverseNeg"].get<double>(0.01); + if (transversePos_ <= 0 || transverseNeg_ <= 0) { + LOG(Awb, Error) << "AwbConfig: transversePos/Neg must be > 0"; + return -EINVAL; + } + + return 0; +} + +int AwbBayes::readPriors(const YamlObject &tuningData) +{ + const auto &priorsList = tuningData["priors"]; + std::map<uint32_t, Pwl> priors; + + if (!priorsList) { + LOG(Awb, Error) << "No priors specified"; + return -EINVAL; + } + + for (const auto &p : priorsList.asList()) { + if (!p.contains("lux")) { + LOG(Awb, Error) << "Missing lux value"; + return -EINVAL; + } + + uint32_t lux = p["lux"].get<uint32_t>(0); + if (priors.count(lux)) { + LOG(Awb, Error) << "Duplicate prior for lux value " << lux; + return -EINVAL; + } + + std::vector<uint32_t> temperatures = + p["ct"].getList<uint32_t>().value_or(std::vector<uint32_t>{}); + std::vector<double> probabilities = + p["probability"].getList<double>().value_or(std::vector<double>{}); + + if (temperatures.size() != probabilities.size()) { + LOG(Awb, Error) + << "Ct and probability array sizes are unequal"; + return -EINVAL; + } + + if (temperatures.empty()) { + LOG(Awb, Error) + << "Ct and probability arrays are empty"; + return -EINVAL; + } + + std::map<int, double> ctToProbability; + for (unsigned int i = 0; i < temperatures.size(); i++) { + int t = temperatures[i]; + if (ctToProbability.count(t)) { + LOG(Awb, Error) << "Duplicate ct value"; + return -EINVAL; + } + + ctToProbability[t] = probabilities[i]; + } + + auto &pwl = priors[lux]; + for (const auto &[ct, prob] : ctToProbability) { + if (prob < 1e-6) { + LOG(Awb, Error) << "Prior probability must be larger than 1e-6"; + return -EINVAL; + } + pwl.append(ct, prob); + } + } + + if (priors.empty()) { + LOG(Awb, Error) << "No priors specified"; + return -EINVAL; + } + + priors_.setData(std::move(priors)); + + return 0; +} + +void AwbBayes::handleControls(const ControlList &controls) +{ + auto mode = controls.get(controls::AwbMode); + if (mode) { + auto it = modes_.find(static_cast<controls::AwbModeEnum>(*mode)); + if (it != modes_.end()) + currentMode_ = &it->second; + else + LOG(Awb, Error) << "Unsupported AWB mode " << *mode; + } +} + +RGB<double> AwbBayes::gainsFromColourTemperature(double colourTemperature) +{ + /* + * \todo In the RaspberryPi code, the ct curve was interpolated in + * the white point space (1/x) not in gains space. This feels counter + * intuitive, as the gains are in linear space. But I can't prove it. + */ + const auto &gains = colourGainCurve_.getInterpolated(colourTemperature); + return { { gains[0], 1.0, gains[1] } }; +} + +AwbResult AwbBayes::calculateAwb(const AwbStats &stats, unsigned int lux) +{ + ipa::Pwl prior; + if (lux > 0) { + prior = priors_.getInterpolated(lux); + prior.map([](double x, double y) { + LOG(Awb, Debug) << "(" << x << "," << y << ")"; + }); + } else { + prior.append(0, 1.0); + } + + double t = coarseSearch(prior, stats); + double r = ctR_.eval(t); + double b = ctB_.eval(t); + LOG(Awb, Debug) + << "After coarse search: r " << r << " b " << b << " (gains r " + << 1 / r << " b " << 1 / b << ")"; + + /* + * Original comment from RaspberryPi: + * Not entirely sure how to handle the fine search yet. Mostly the + * estimated CT is already good enough, but the fine search allows us to + * wander transversely off the CT curve. Under some illuminants, where + * there may be more or less green light, this may prove beneficial, + * though I probably need more real datasets before deciding exactly how + * this should be controlled and tuned. + */ + fineSearch(t, r, b, prior, stats); + LOG(Awb, Debug) + << "After fine search: r " << r << " b " << b << " (gains r " + << 1 / r << " b " << 1 / b << ")"; + + return { { { 1.0 / r, 1.0, 1.0 / b } }, t }; +} + +double AwbBayes::coarseSearch(const ipa::Pwl &prior, const AwbStats &stats) const +{ + std::vector<Pwl::Point> points; + size_t bestPoint = 0; + double t = currentMode_->ctLo; + int spanR = -1; + int spanB = -1; + LimitsRecorder<double> errorLimits; + LimitsRecorder<double> priorLogLikelihoodLimits; + + /* Step down the CT curve evaluating log likelihood. */ + while (true) { + double r = ctR_.eval(t, &spanR); + double b = ctB_.eval(t, &spanB); + RGB<double> gains({ 1 / r, 1.0, 1 / b }); + double delta2Sum = stats.computeColourError(gains); + double priorLogLikelihood = log(prior.eval(prior.domain().clamp(t))); + double finalLogLikelihood = delta2Sum - priorLogLikelihood; + + errorLimits.record(delta2Sum); + priorLogLikelihoodLimits.record(priorLogLikelihood); + + points.push_back({ { t, finalLogLikelihood } }); + if (points.back().y() < points[bestPoint].y()) + bestPoint = points.size() - 1; + + if (t == currentMode_->ctHi) + break; + + /* + * Ensure even steps along the r/b curve by scaling them by the + * current t. + */ + t = std::min(t + t / 10 * kSearchStep, currentMode_->ctHi); + } + + t = points[bestPoint].x(); + LOG(Awb, Debug) << "Coarse search found CT " << t + << " error limits:" << errorLimits + << " prior log likelihood limits:" << priorLogLikelihoodLimits; + + /* + * We have the best point of the search, but refine it with a quadratic + * interpolation around its neighbors. + */ + if (points.size() > 2) { + bestPoint = std::clamp(bestPoint, std::size_t{ 1 }, points.size() - 2); + t = interpolateQuadratic(points[bestPoint - 1], + points[bestPoint], + points[bestPoint + 1]); + LOG(Awb, Debug) + << "After quadratic refinement, coarse search has CT " + << t; + } + + return t; +} + +void AwbBayes::fineSearch(double &t, double &r, double &b, ipa::Pwl const &prior, const AwbStats &stats) const +{ + int spanR = -1; + int spanB = -1; + double step = t / 10 * kSearchStep * 0.1; + int nsteps = 5; + ctR_.eval(t, &spanR); + ctB_.eval(t, &spanB); + double rDiff = ctR_.eval(t + nsteps * step, &spanR) - + ctR_.eval(t - nsteps * step, &spanR); + double bDiff = ctB_.eval(t + nsteps * step, &spanB) - + ctB_.eval(t - nsteps * step, &spanB); + Pwl::Point transverse({ bDiff, -rDiff }); + if (transverse.length2() < 1e-6) + return; + /* + * transverse is a unit vector orthogonal to the b vs. r function + * (pointing outwards with r and b increasing) + */ + transverse = transverse / transverse.length(); + double bestLogLikelihood = 0; + double bestT = 0; + Pwl::Point bestRB(0); + double transverseRange = transverseNeg_ + transversePos_; + const int maxNumDeltas = 12; + LimitsRecorder<double> errorLimits; + LimitsRecorder<double> priorLogLikelihoodLimits; + + + /* a transverse step approximately every 0.01 r/b units */ + int numDeltas = floor(transverseRange * 100 + 0.5) + 1; + numDeltas = std::clamp(numDeltas, 3, maxNumDeltas); + + /* + * Step down CT curve. March a bit further if the transverse range is + * large. + */ + nsteps += numDeltas; + for (int i = -nsteps; i <= nsteps; i++) { + double tTest = t + i * step; + double priorLogLikelihood = + log(prior.eval(prior.domain().clamp(tTest))); + priorLogLikelihoodLimits.record(priorLogLikelihood); + Pwl::Point rbStart{ { ctR_.eval(tTest, &spanR), + ctB_.eval(tTest, &spanB) } }; + Pwl::Point samples[maxNumDeltas]; + int bestPoint = 0; + + /* + * Sample numDeltas points transversely *off* the CT curve + * in the range [-transverseNeg, transversePos]. + * The x values of a sample contains the distance and the y + * value contains the corresponding log likelihood. + */ + double transverseStep = transverseRange / (numDeltas - 1); + for (int j = 0; j < numDeltas; j++) { + auto &p = samples[j]; + p.x() = -transverseNeg_ + transverseStep * j; + Pwl::Point rbTest = rbStart + transverse * p.x(); + RGB<double> gains({ 1 / rbTest[0], 1.0, 1 / rbTest[1] }); + double delta2Sum = stats.computeColourError(gains); + errorLimits.record(delta2Sum); + p.y() = delta2Sum - priorLogLikelihood; + + if (p.y() < samples[bestPoint].y()) + bestPoint = j; + } + + /* + * We have all samples transversely across the CT curve, + * now let's do a quadratic interpolation for the best result. + */ + bestPoint = std::clamp(bestPoint, 1, numDeltas - 2); + double bestOffset = interpolateQuadratic(samples[bestPoint - 1], + samples[bestPoint], + samples[bestPoint + 1]); + Pwl::Point rbTest = rbStart + transverse * bestOffset; + RGB<double> gains({ 1 / rbTest[0], 1.0, 1 / rbTest[1] }); + double delta2Sum = stats.computeColourError(gains); + errorLimits.record(delta2Sum); + double finalLogLikelihood = delta2Sum - priorLogLikelihood; + + if (bestT == 0 || finalLogLikelihood < bestLogLikelihood) { + bestLogLikelihood = finalLogLikelihood; + bestT = tTest; + bestRB = rbTest; + } + } + + t = bestT; + r = bestRB[0]; + b = bestRB[1]; + LOG(Awb, Debug) + << "Fine search found t " << t << " r " << r << " b " << b + << " error limits: " << errorLimits + << " prior log likelihood limits: " << priorLogLikelihoodLimits; +} + +/** + * \brief Find extremum of function + * \param[in] a First point + * \param[in] b Second point + * \param[in] c Third point + * + * Given 3 points on a curve, find the extremum of the function in that interval + * by fitting a quadratic. + * + * \return The x value of the extremum clamped to the interval [a.x(), c.x()] + */ +double AwbBayes::interpolateQuadratic(Pwl::Point const &a, Pwl::Point const &b, + Pwl::Point const &c) const +{ + const double eps = 1e-3; + Pwl::Point ca = c - a; + Pwl::Point ba = b - a; + double denominator = 2 * (ba.y() * ca.x() - ca.y() * ba.x()); + if (std::abs(denominator) > eps) { + double numerator = ba.y() * ca.x() * ca.x() - ca.y() * ba.x() * ba.x(); + double result = numerator / denominator + a.x(); + return std::max(a.x(), std::min(c.x(), result)); + } + /* has degenerated to straight line segment */ + return a.y() < c.y() - eps ? a.x() : (c.y() < a.y() - eps ? c.x() : b.x()); +} + +} /* namespace ipa */ + +} /* namespace libcamera */ diff --git a/src/ipa/libipa/awb_bayes.h b/src/ipa/libipa/awb_bayes.h new file mode 100644 index 00000000..bb933038 --- /dev/null +++ b/src/ipa/libipa/awb_bayes.h @@ -0,0 +1,59 @@ +/* SPDX-License-Identifier: LGPL-2.1-or-later */ +/* + * Copyright (C) 2024 Ideas on Board Oy + * + * Base class for bayes AWB algorithms + */ + +#pragma once + +#include <libcamera/controls.h> + +#include "libcamera/internal/vector.h" +#include "libcamera/internal/yaml_parser.h" + +#include "awb.h" +#include "interpolator.h" +#include "pwl.h" + +namespace libcamera { + +namespace ipa { + +class AwbBayes : public AwbAlgorithm +{ +public: + AwbBayes() = default; + + int init(const YamlObject &tuningData) override; + AwbResult calculateAwb(const AwbStats &stats, unsigned int lux) override; + RGB<double> gainsFromColourTemperature(double temperatureK) override; + void handleControls(const ControlList &controls) override; + +private: + int readPriors(const YamlObject &tuningData); + + void fineSearch(double &t, double &r, double &b, ipa::Pwl const &prior, + const AwbStats &stats) const; + double coarseSearch(const ipa::Pwl &prior, const AwbStats &stats) const; + double interpolateQuadratic(ipa::Pwl::Point const &a, + ipa::Pwl::Point const &b, + ipa::Pwl::Point const &c) const; + + Interpolator<Pwl> priors_; + Interpolator<Vector<double, 2>> colourGainCurve_; + + ipa::Pwl ctR_; + ipa::Pwl ctB_; + ipa::Pwl ctRInverse_; + ipa::Pwl ctBInverse_; + + double transversePos_; + double transverseNeg_; + + ModeConfig *currentMode_ = nullptr; +}; + +} /* namespace ipa */ + +} /* namespace libcamera */ diff --git a/src/ipa/libipa/awb_grey.cpp b/src/ipa/libipa/awb_grey.cpp new file mode 100644 index 00000000..d3d2132b --- /dev/null +++ b/src/ipa/libipa/awb_grey.cpp @@ -0,0 +1,114 @@ +/* SPDX-License-Identifier: LGPL-2.1-or-later */ +/* + * Copyright (C) 2024 Ideas on Board Oy + * + * Implementation of grey world AWB algorithm + */ + +#include "awb_grey.h" + +#include <algorithm> + +#include <libcamera/base/log.h> +#include <libcamera/control_ids.h> + +#include "colours.h" + +using namespace libcamera::controls; + +/** + * \file awb_grey.h + * \brief Implementation of a grey world AWB algorithm + */ + +namespace libcamera { + +LOG_DECLARE_CATEGORY(Awb) +namespace ipa { + +/** + * \class AwbGrey + * \brief A Grey world auto white balance algorithm + */ + +/** + * \brief Initialize the algorithm with the given tuning data + * \param[in] tuningData The tuning data for the algorithm + * + * Load the colour temperature curve from the tuning data. If there is no tuning + * data available, continue with a warning. Manual colour temperature will not + * work in that case. + * + * \return 0 on success, a negative error code otherwise + */ +int AwbGrey::init(const YamlObject &tuningData) +{ + Interpolator<Vector<double, 2>> gains; + int ret = gains.readYaml(tuningData["colourGains"], "ct", "gains"); + if (ret < 0) + LOG(Awb, Warning) + << "Failed to parse 'colourGains' " + << "parameter from tuning file; " + << "manual colour temperature will not work properly"; + else + colourGainCurve_ = gains; + + return 0; +} + +/** + * \brief Calculate AWB data from the given statistics + * \param[in] stats The statistics to use for the calculation + * \param[in] lux The lux value of the scene + * + * The colour temperature is estimated based on the colours::estimateCCT() + * function. The gains are calculated purely based on the RGB means provided by + * the \a stats. The colour temperature is not taken into account when + * calculating the gains. + * + * The \a lux parameter is not used in this algorithm. + * + * \return The AWB result + */ +AwbResult AwbGrey::calculateAwb(const AwbStats &stats, [[maybe_unused]] unsigned int lux) +{ + AwbResult result; + auto means = stats.rgbMeans(); + result.colourTemperature = estimateCCT(means); + + /* + * Estimate the red and blue gains to apply in a grey world. The green + * gain is hardcoded to 1.0. Avoid divisions by zero by clamping the + * divisor to a minimum value of 1.0. + */ + result.gains.r() = means.g() / std::max(means.r(), 1.0); + result.gains.g() = 1.0; + result.gains.b() = means.g() / std::max(means.b(), 1.0); + return result; +} + +/** + * \brief Compute white balance gains from a colour temperature + * \param[in] colourTemperature The colour temperature in Kelvin + * + * Compute the white balance gains from a \a colourTemperature. This function + * does not take any statistics into account. It simply interpolates the colour + * gains configured in the colour temperature curve. + * + * \return The colour gains if a colour temperature curve is available, + * [1, 1, 1] otherwise. + */ +RGB<double> AwbGrey::gainsFromColourTemperature(double colourTemperature) +{ + if (!colourGainCurve_) { + LOG(Awb, Error) << "No gains defined"; + return RGB<double>({ 1.0, 1.0, 1.0 }); + } + + auto gains = colourGainCurve_->getInterpolated(colourTemperature); + return { { gains[0], 1.0, gains[1] } }; +} + +} /* namespace ipa */ + +} /* namespace libcamera */ diff --git a/src/ipa/libipa/awb_grey.h b/src/ipa/libipa/awb_grey.h new file mode 100644 index 00000000..7ec7bfa5 --- /dev/null +++ b/src/ipa/libipa/awb_grey.h @@ -0,0 +1,36 @@ +/* SPDX-License-Identifier: LGPL-2.1-or-later */ +/* + * Copyright (C) 2024 Ideas on Board Oy + * + * AWB grey world algorithm + */ + +#pragma once + +#include <optional> + +#include "libcamera/internal/vector.h" + +#include "awb.h" +#include "interpolator.h" + +namespace libcamera { + +namespace ipa { + +class AwbGrey : public AwbAlgorithm +{ +public: + AwbGrey() = default; + + int init(const YamlObject &tuningData) override; + AwbResult calculateAwb(const AwbStats &stats, unsigned int lux) override; + RGB<double> gainsFromColourTemperature(double colourTemperature) override; + +private: + std::optional<Interpolator<Vector<double, 2>>> colourGainCurve_; +}; + +} /* namespace ipa */ + +} /* namespace libcamera */ diff --git a/src/ipa/libipa/camera_sensor_helper.cpp b/src/ipa/libipa/camera_sensor_helper.cpp index ffc7c1d7..7c66cd57 100644 --- a/src/ipa/libipa/camera_sensor_helper.cpp +++ b/src/ipa/libipa/camera_sensor_helper.cpp @@ -87,21 +87,16 @@ namespace ipa { */ uint32_t CameraSensorHelper::gainCode(double gain) const { - const AnalogueGainConstants &k = gainConstants_; + if (auto *l = std::get_if<AnalogueGainLinear>(&gain_)) { + ASSERT(l->m0 == 0 || l->m1 == 0); - switch (gainType_) { - case AnalogueGainLinear: - ASSERT(k.linear.m0 == 0 || k.linear.m1 == 0); + return (l->c0 - l->c1 * gain) / + (l->m1 * gain - l->m0); + } else if (auto *e = std::get_if<AnalogueGainExp>(&gain_)) { + ASSERT(e->a != 0 && e->m != 0); - return (k.linear.c0 - k.linear.c1 * gain) / - (k.linear.m1 * gain - k.linear.m0); - - case AnalogueGainExponential: - ASSERT(k.exp.a != 0 && k.exp.m != 0); - - return std::log2(gain / k.exp.a) / k.exp.m; - - default: + return std::log2(gain / e->a) / e->m; + } else { ASSERT(false); return 0; } @@ -119,38 +114,26 @@ uint32_t CameraSensorHelper::gainCode(double gain) const */ double CameraSensorHelper::gain(uint32_t gainCode) const { - const AnalogueGainConstants &k = gainConstants_; double gain = static_cast<double>(gainCode); - switch (gainType_) { - case AnalogueGainLinear: - ASSERT(k.linear.m0 == 0 || k.linear.m1 == 0); + if (auto *l = std::get_if<AnalogueGainLinear>(&gain_)) { + ASSERT(l->m0 == 0 || l->m1 == 0); - return (k.linear.m0 * gain + k.linear.c0) / - (k.linear.m1 * gain + k.linear.c1); + return (l->m0 * gain + l->c0) / + (l->m1 * gain + l->c1); + } else if (auto *e = std::get_if<AnalogueGainExp>(&gain_)) { + ASSERT(e->a != 0 && e->m != 0); - case AnalogueGainExponential: - ASSERT(k.exp.a != 0 && k.exp.m != 0); - - return k.exp.a * std::exp2(k.exp.m * gain); - - default: + return e->a * std::exp2(e->m * gain); + } else { ASSERT(false); return 0.0; } } /** - * \enum CameraSensorHelper::AnalogueGainType - * \brief The gain calculation modes as defined by the MIPI CCS - * - * Describes the image sensor analogue gain capabilities. - * Two modes are possible, depending on the sensor: Linear and Exponential. - */ - -/** - * \var CameraSensorHelper::AnalogueGainLinear - * \brief Gain is computed using linear gain estimation + * \struct CameraSensorHelper::AnalogueGainLinear + * \brief Analogue gain constants for the linear gain model * * The relationship between the integer gain parameter and the resulting gain * multiplier is given by the following equation: @@ -165,11 +148,27 @@ double CameraSensorHelper::gain(uint32_t gainCode) const * The full Gain equation therefore reduces to either: * * \f$gain=\frac{c0}{m1x+c1}\f$ or \f$\frac{m0x+c0}{c1}\f$ + * + * \var CameraSensorHelper::AnalogueGainLinear::m0 + * \brief Constant used in the linear gain coding/decoding + * + * \note Either m0 or m1 shall be zero. + * + * \var CameraSensorHelper::AnalogueGainLinear::c0 + * \brief Constant used in the linear gain coding/decoding + * + * \var CameraSensorHelper::AnalogueGainLinear::m1 + * \brief Constant used in the linear gain coding/decoding + * + * \note Either m0 or m1 shall be zero. + * + * \var CameraSensorHelper::AnalogueGainLinear::c1 + * \brief Constant used in the linear gain coding/decoding */ /** - * \var CameraSensorHelper::AnalogueGainExponential - * \brief Gain is expressed using an exponential model + * \struct CameraSensorHelper::AnalogueGainExp + * \brief Analogue gain constants for the exponential gain model * * The relationship between the integer gain parameter and the resulting gain * multiplier is given by the following equation: @@ -185,67 +184,22 @@ double CameraSensorHelper::gain(uint32_t gainCode) const * * When the gain is expressed in dB, 'a' is equal to 1 and 'm' to * \f$log_{2}{10^{\frac{1}{20}}}\f$. - */ - -/** - * \struct CameraSensorHelper::AnalogueGainLinearConstants - * \brief Analogue gain constants for the linear gain model - * - * \var CameraSensorHelper::AnalogueGainLinearConstants::m0 - * \brief Constant used in the linear gain coding/decoding - * - * \note Either m0 or m1 shall be zero. - * - * \var CameraSensorHelper::AnalogueGainLinearConstants::c0 - * \brief Constant used in the linear gain coding/decoding - * - * \var CameraSensorHelper::AnalogueGainLinearConstants::m1 - * \brief Constant used in the linear gain coding/decoding - * - * \note Either m0 or m1 shall be zero. - * - * \var CameraSensorHelper::AnalogueGainLinearConstants::c1 - * \brief Constant used in the linear gain coding/decoding - */ - -/** - * \struct CameraSensorHelper::AnalogueGainExpConstants - * \brief Analogue gain constants for the exponential gain model * - * \var CameraSensorHelper::AnalogueGainExpConstants::a + * \var CameraSensorHelper::AnalogueGainExp::a * \brief Constant used in the exponential gain coding/decoding * - * \var CameraSensorHelper::AnalogueGainExpConstants::m + * \var CameraSensorHelper::AnalogueGainExp::m * \brief Constant used in the exponential gain coding/decoding */ /** - * \struct CameraSensorHelper::AnalogueGainConstants - * \brief Analogue gain model constants - * - * This union stores the constants used to calculate the analogue gain. The - * CameraSensorHelper::gainType_ variable selects which union member is valid. - * - * \var CameraSensorHelper::AnalogueGainConstants::linear - * \brief Constants for the linear gain model - * - * \var CameraSensorHelper::AnalogueGainConstants::exp - * \brief Constants for the exponential gain model - */ - -/** * \var CameraSensorHelper::blackLevel_ * \brief The black level of the sensor * \sa CameraSensorHelper::blackLevel() */ /** - * \var CameraSensorHelper::gainType_ - * \brief The analogue gain model type - */ - -/** - * \var CameraSensorHelper::gainConstants_ + * \var CameraSensorHelper::gain_ * \brief The analogue gain parameters used for calculation * * The analogue gain is calculated through a formula, and its parameters are @@ -519,6 +473,42 @@ private: }; REGISTER_CAMERA_SENSOR_HELPER("ar0521", CameraSensorHelperAr0521) +class CameraSensorHelperGc05a2 : public CameraSensorHelper +{ +public: + CameraSensorHelperGc05a2() + { + /* From datasheet: 64 at 10bits. */ + blackLevel_ = 4096; + gain_ = AnalogueGainLinear{ 100, 0, 0, 1024 }; + } +}; +REGISTER_CAMERA_SENSOR_HELPER("gc05a2", CameraSensorHelperGc05a2) + +class CameraSensorHelperGc08a3 : public CameraSensorHelper +{ +public: + CameraSensorHelperGc08a3() + { + /* From datasheet: 64 at 10bits. */ + blackLevel_ = 4096; + gain_ = AnalogueGainLinear{ 100, 0, 0, 1024 }; + } +}; +REGISTER_CAMERA_SENSOR_HELPER("gc08a3", CameraSensorHelperGc08a3) + +class CameraSensorHelperImx214 : public CameraSensorHelper +{ +public: + CameraSensorHelperImx214() + { + /* From datasheet: 64 at 10bits. */ + blackLevel_ = 4096; + gain_ = AnalogueGainLinear{ 0, 512, -1, 512 }; + } +}; +REGISTER_CAMERA_SENSOR_HELPER("imx214", CameraSensorHelperImx214) + class CameraSensorHelperImx219 : public CameraSensorHelper { public: @@ -526,8 +516,7 @@ public: { /* From datasheet: 64 at 10bits. */ blackLevel_ = 4096; - gainType_ = AnalogueGainLinear; - gainConstants_.linear = { 0, 256, -1, 256 }; + gain_ = AnalogueGainLinear{ 0, 256, -1, 256 }; } }; REGISTER_CAMERA_SENSOR_HELPER("imx219", CameraSensorHelperImx219) @@ -539,8 +528,7 @@ public: { /* From datasheet: 0x40 at 10bits. */ blackLevel_ = 4096; - gainType_ = AnalogueGainLinear; - gainConstants_.linear = { 0, 512, -1, 512 }; + gain_ = AnalogueGainLinear{ 0, 512, -1, 512 }; } }; REGISTER_CAMERA_SENSOR_HELPER("imx258", CameraSensorHelperImx258) @@ -550,8 +538,9 @@ class CameraSensorHelperImx283 : public CameraSensorHelper public: CameraSensorHelperImx283() { - gainType_ = AnalogueGainLinear; - gainConstants_.linear = { 0, 2048, -1, 2048 }; + /* From datasheet: 0x32 at 10bits. */ + blackLevel_ = 3200; + gain_ = AnalogueGainLinear{ 0, 2048, -1, 2048 }; } }; REGISTER_CAMERA_SENSOR_HELPER("imx283", CameraSensorHelperImx283) @@ -561,8 +550,9 @@ class CameraSensorHelperImx290 : public CameraSensorHelper public: CameraSensorHelperImx290() { - gainType_ = AnalogueGainExponential; - gainConstants_.exp = { 1.0, expGainDb(0.3) }; + /* From datasheet: 0xf0 at 12bits. */ + blackLevel_ = 3840; + gain_ = AnalogueGainExp{ 1.0, expGainDb(0.3) }; } }; REGISTER_CAMERA_SENSOR_HELPER("imx290", CameraSensorHelperImx290) @@ -572,8 +562,7 @@ class CameraSensorHelperImx296 : public CameraSensorHelper public: CameraSensorHelperImx296() { - gainType_ = AnalogueGainExponential; - gainConstants_.exp = { 1.0, expGainDb(0.1) }; + gain_ = AnalogueGainExp{ 1.0, expGainDb(0.1) }; } }; REGISTER_CAMERA_SENSOR_HELPER("imx296", CameraSensorHelperImx296) @@ -590,8 +579,7 @@ public: { /* From datasheet: 0x32 at 10bits. */ blackLevel_ = 3200; - gainType_ = AnalogueGainExponential; - gainConstants_.exp = { 1.0, expGainDb(0.3) }; + gain_ = AnalogueGainExp{ 1.0, expGainDb(0.3) }; } }; REGISTER_CAMERA_SENSOR_HELPER("imx335", CameraSensorHelperImx335) @@ -601,19 +589,22 @@ class CameraSensorHelperImx415 : public CameraSensorHelper public: CameraSensorHelperImx415() { - gainType_ = AnalogueGainExponential; - gainConstants_.exp = { 1.0, expGainDb(0.3) }; + gain_ = AnalogueGainExp{ 1.0, expGainDb(0.3) }; } }; REGISTER_CAMERA_SENSOR_HELPER("imx415", CameraSensorHelperImx415) +class CameraSensorHelperImx462 : public CameraSensorHelperImx290 +{ +}; +REGISTER_CAMERA_SENSOR_HELPER("imx462", CameraSensorHelperImx462) + class CameraSensorHelperImx477 : public CameraSensorHelper { public: CameraSensorHelperImx477() { - gainType_ = AnalogueGainLinear; - gainConstants_.linear = { 0, 1024, -1, 1024 }; + gain_ = AnalogueGainLinear{ 0, 1024, -1, 1024 }; } }; REGISTER_CAMERA_SENSOR_HELPER("imx477", CameraSensorHelperImx477) @@ -627,8 +618,7 @@ public: * The Sensor Manual doesn't appear to document the gain model. * This has been validated with some empirical testing only. */ - gainType_ = AnalogueGainLinear; - gainConstants_.linear = { 1, 0, 0, 128 }; + gain_ = AnalogueGainLinear{ 1, 0, 0, 128 }; } }; REGISTER_CAMERA_SENSOR_HELPER("ov2685", CameraSensorHelperOv2685) @@ -638,8 +628,7 @@ class CameraSensorHelperOv2740 : public CameraSensorHelper public: CameraSensorHelperOv2740() { - gainType_ = AnalogueGainLinear; - gainConstants_.linear = { 1, 0, 0, 128 }; + gain_ = AnalogueGainLinear{ 1, 0, 0, 128 }; } }; REGISTER_CAMERA_SENSOR_HELPER("ov2740", CameraSensorHelperOv2740) @@ -651,8 +640,7 @@ public: { /* From datasheet: 0x40 at 12bits. */ blackLevel_ = 1024; - gainType_ = AnalogueGainLinear; - gainConstants_.linear = { 1, 0, 0, 128 }; + gain_ = AnalogueGainLinear{ 1, 0, 0, 128 }; } }; REGISTER_CAMERA_SENSOR_HELPER("ov4689", CameraSensorHelperOv4689) @@ -664,8 +652,7 @@ public: { /* From datasheet: 0x10 at 10bits. */ blackLevel_ = 1024; - gainType_ = AnalogueGainLinear; - gainConstants_.linear = { 1, 0, 0, 16 }; + gain_ = AnalogueGainLinear{ 1, 0, 0, 16 }; } }; REGISTER_CAMERA_SENSOR_HELPER("ov5640", CameraSensorHelperOv5640) @@ -675,8 +662,7 @@ class CameraSensorHelperOv5647 : public CameraSensorHelper public: CameraSensorHelperOv5647() { - gainType_ = AnalogueGainLinear; - gainConstants_.linear = { 1, 0, 0, 16 }; + gain_ = AnalogueGainLinear{ 1, 0, 0, 16 }; } }; REGISTER_CAMERA_SENSOR_HELPER("ov5647", CameraSensorHelperOv5647) @@ -686,8 +672,7 @@ class CameraSensorHelperOv5670 : public CameraSensorHelper public: CameraSensorHelperOv5670() { - gainType_ = AnalogueGainLinear; - gainConstants_.linear = { 1, 0, 0, 128 }; + gain_ = AnalogueGainLinear{ 1, 0, 0, 128 }; } }; REGISTER_CAMERA_SENSOR_HELPER("ov5670", CameraSensorHelperOv5670) @@ -699,8 +684,7 @@ public: { /* From Linux kernel driver: 0x40 at 10bits. */ blackLevel_ = 4096; - gainType_ = AnalogueGainLinear; - gainConstants_.linear = { 1, 0, 0, 128 }; + gain_ = AnalogueGainLinear{ 1, 0, 0, 128 }; } }; REGISTER_CAMERA_SENSOR_HELPER("ov5675", CameraSensorHelperOv5675) @@ -710,8 +694,7 @@ class CameraSensorHelperOv5693 : public CameraSensorHelper public: CameraSensorHelperOv5693() { - gainType_ = AnalogueGainLinear; - gainConstants_.linear = { 1, 0, 0, 16 }; + gain_ = AnalogueGainLinear{ 1, 0, 0, 16 }; } }; REGISTER_CAMERA_SENSOR_HELPER("ov5693", CameraSensorHelperOv5693) @@ -721,8 +704,7 @@ class CameraSensorHelperOv64a40 : public CameraSensorHelper public: CameraSensorHelperOv64a40() { - gainType_ = AnalogueGainLinear; - gainConstants_.linear = { 1, 0, 0, 128 }; + gain_ = AnalogueGainLinear{ 1, 0, 0, 128 }; } }; REGISTER_CAMERA_SENSOR_HELPER("ov64a40", CameraSensorHelperOv64a40) @@ -732,15 +714,13 @@ class CameraSensorHelperOv8858 : public CameraSensorHelper public: CameraSensorHelperOv8858() { - gainType_ = AnalogueGainLinear; - /* * \todo Validate the selected 1/128 step value as it differs * from what the sensor manual describes. * * See: https://patchwork.linuxtv.org/project/linux-media/patch/20221106171129.166892-2-nicholas@rothemail.net/#142267 */ - gainConstants_.linear = { 1, 0, 0, 128 }; + gain_ = AnalogueGainLinear{ 1, 0, 0, 128 }; } }; REGISTER_CAMERA_SENSOR_HELPER("ov8858", CameraSensorHelperOv8858) @@ -750,8 +730,7 @@ class CameraSensorHelperOv8865 : public CameraSensorHelper public: CameraSensorHelperOv8865() { - gainType_ = AnalogueGainLinear; - gainConstants_.linear = { 1, 0, 0, 128 }; + gain_ = AnalogueGainLinear{ 1, 0, 0, 128 }; } }; REGISTER_CAMERA_SENSOR_HELPER("ov8865", CameraSensorHelperOv8865) @@ -761,8 +740,7 @@ class CameraSensorHelperOv13858 : public CameraSensorHelper public: CameraSensorHelperOv13858() { - gainType_ = AnalogueGainLinear; - gainConstants_.linear = { 1, 0, 0, 128 }; + gain_ = AnalogueGainLinear{ 1, 0, 0, 128 }; } }; REGISTER_CAMERA_SENSOR_HELPER("ov13858", CameraSensorHelperOv13858) diff --git a/src/ipa/libipa/camera_sensor_helper.h b/src/ipa/libipa/camera_sensor_helper.h index 75868205..a9300a64 100644 --- a/src/ipa/libipa/camera_sensor_helper.h +++ b/src/ipa/libipa/camera_sensor_helper.h @@ -11,6 +11,7 @@ #include <optional> #include <stdint.h> #include <string> +#include <variant> #include <vector> #include <libcamera/base/class.h> @@ -30,31 +31,20 @@ public: virtual double gain(uint32_t gainCode) const; protected: - enum AnalogueGainType { - AnalogueGainLinear, - AnalogueGainExponential, - }; - - struct AnalogueGainLinearConstants { + struct AnalogueGainLinear { int16_t m0; int16_t c0; int16_t m1; int16_t c1; }; - struct AnalogueGainExpConstants { + struct AnalogueGainExp { double a; double m; }; - union AnalogueGainConstants { - AnalogueGainLinearConstants linear; - AnalogueGainExpConstants exp; - }; - std::optional<int16_t> blackLevel_; - AnalogueGainType gainType_; - AnalogueGainConstants gainConstants_; + std::variant<std::monostate, AnalogueGainLinear, AnalogueGainExp> gain_; private: LIBCAMERA_DISABLE_COPY_AND_MOVE(CameraSensorHelper) diff --git a/src/ipa/libipa/colours.cpp b/src/ipa/libipa/colours.cpp new file mode 100644 index 00000000..97124cf4 --- /dev/null +++ b/src/ipa/libipa/colours.cpp @@ -0,0 +1,81 @@ +/* SPDX-License-Identifier: BSD-2-Clause */ +/* + * Copyright (C) 2024, Ideas on Board Oy + * + * libipa miscellaneous colour helpers + */ + +#include "colours.h" + +#include <algorithm> +#include <cmath> + +namespace libcamera { + +namespace ipa { + +/** + * \file colours.h + * \brief Functions to reduce code duplication between IPA modules + */ + +/** + * \brief Estimate luminance from RGB values following ITU-R BT.601 + * \param[in] rgb The RGB value + * + * This function estimates a luminance value from a triplet of Red, Green and + * Blue values, following the formula defined by ITU-R Recommendation BT.601-7 + * which can be found at https://www.itu.int/rec/R-REC-BT.601 + * + * \return The estimated luminance value + */ +double rec601LuminanceFromRGB(const RGB<double> &rgb) +{ + static const Vector<double, 3> rgb2y{{ + 0.299, 0.587, 0.114 + }}; + + return rgb.dot(rgb2y); +} + +/** + * \brief Estimate correlated colour temperature from RGB color space input + * \param[in] rgb The RGB value + * + * This function estimates the correlated color temperature RGB color space + * input. In physics and color science, the Planckian locus or black body locus + * is the path or locus that the color of an incandescent black body would take + * in a particular chromaticity space as the black body temperature changes. + * + * If a narrow range of color temperatures is considered (those encapsulating + * daylight being the most practical case) one can approximate the Planckian + * locus in order to calculate the CCT in terms of chromaticity coordinates. + * + * More detailed information can be found in: + * https://en.wikipedia.org/wiki/Color_temperature#Approximation + * + * \return The estimated color temperature + */ +uint32_t estimateCCT(const RGB<double> &rgb) +{ + /* + * Convert the RGB values to CIE tristimulus values (XYZ) and divide by + * the sum of X, Y and Z to calculate the CIE xy chromaticity. + */ + static const Matrix<double, 3, 3> rgb2xyz({ + -0.14282, 1.54924, -0.95641, + -0.32466, 1.57837, -0.73191, + -0.68202, 0.77073, 0.56332 + }); + + Vector<double, 3> xyz = rgb2xyz * rgb; + xyz /= xyz.sum(); + + /* Calculate CCT */ + double n = (xyz.x() - 0.3320) / (0.1858 - xyz.y()); + return 449 * n * n * n + 3525 * n * n + 6823.3 * n + 5520.33; +} + +} /* namespace ipa */ + +} /* namespace libcamera */ diff --git a/src/ipa/libipa/colours.h b/src/ipa/libipa/colours.h new file mode 100644 index 00000000..d39b2ca8 --- /dev/null +++ b/src/ipa/libipa/colours.h @@ -0,0 +1,23 @@ +/* SPDX-License-Identifier: BSD-2-Clause */ +/* + * Copyright (C) 2024, Ideas on Board Oy + * + * libipa miscellaneous colour helpers + */ + +#pragma once + +#include <stdint.h> + +#include "libcamera/internal/vector.h" + +namespace libcamera { + +namespace ipa { + +double rec601LuminanceFromRGB(const RGB<double> &rgb); +uint32_t estimateCCT(const RGB<double> &rgb); + +} /* namespace ipa */ + +} /* namespace libcamera */ diff --git a/src/ipa/libipa/exposure_mode_helper.cpp b/src/ipa/libipa/exposure_mode_helper.cpp index 7703becc..0c1e99e3 100644 --- a/src/ipa/libipa/exposure_mode_helper.cpp +++ b/src/ipa/libipa/exposure_mode_helper.cpp @@ -14,9 +14,9 @@ * \file exposure_mode_helper.h * \brief Helper class that performs computations relating to exposure * - * AEGC algorithms have a need to split exposure between shutter time, analogue + * AEGC algorithms have a need to split exposure between exposure time, analogue * and digital gain. Multiple implementations do so based on paired stages of - * shutter time and gain limits; provide a helper to avoid duplicating the code. + * exposure time and gain limits; provide a helper to avoid duplicating the code. */ namespace libcamera { @@ -29,24 +29,24 @@ namespace ipa { /** * \class ExposureModeHelper - * \brief Class for splitting exposure into shutter time and total gain + * \brief Class for splitting exposure into exposure time and total gain * * The ExposureModeHelper class provides a standard interface through which an - * AEGC algorithm can divide exposure between shutter time and gain. It is - * configured with a set of shutter time and gain pairs and works by initially - * fixing gain at 1.0 and increasing shutter time up to the shutter time value + * AEGC algorithm can divide exposure between exposure time and gain. It is + * configured with a set of exposure time and gain pairs and works by initially + * fixing gain at 1.0 and increasing exposure time up to the exposure time value * from the first pair in the set in an attempt to meet the required exposure * value. * - * If the required exposure is not achievable by the first shutter time value + * If the required exposure is not achievable by the first exposure time value * alone it ramps gain up to the value from the first pair in the set. If the - * required exposure is still not met it then allows shutter time to ramp up to - * the shutter time value from the second pair in the set, and continues in this + * required exposure is still not met it then allows exposure time to ramp up to + * the exposure time value from the second pair in the set, and continues in this * vein until either the required exposure time is met, or else the hardware's - * shutter time or gain limits are reached. + * exposure time or gain limits are reached. * * This method allows users to strike a balance between a well-exposed image and - * an acceptable frame-rate, as opposed to simply maximising shutter time + * an acceptable frame-rate, as opposed to simply maximising exposure time * followed by gain. The same helpers can be used to perform the latter * operation if needed by passing an empty set of pairs to the initialisation * function. @@ -61,56 +61,56 @@ namespace ipa { /** * \brief Construct an ExposureModeHelper instance - * \param[in] stages The vector of paired shutter time and gain limits + * \param[in] stages The vector of paired exposure time and gain limits * - * The input stages are shutter time and _total_ gain pairs; the gain + * The input stages are exposure time and _total_ gain pairs; the gain * encompasses both analogue and digital gain. * * The vector of stages may be empty. In that case, the helper will simply use - * the runtime limits set through setShutterGainLimits() instead. + * the runtime limits set through setLimits() instead. */ ExposureModeHelper::ExposureModeHelper(const Span<std::pair<utils::Duration, double>> stages) { - minShutter_ = 0us; - maxShutter_ = 0us; + minExposureTime_ = 0us; + maxExposureTime_ = 0us; minGain_ = 0; maxGain_ = 0; for (const auto &[s, g] : stages) { - shutters_.push_back(s); + exposureTimes_.push_back(s); gains_.push_back(g); } } /** - * \brief Set the shutter time and gain limits - * \param[in] minShutter The minimum shutter time supported - * \param[in] maxShutter The maximum shutter time supported + * \brief Set the exposure time and gain limits + * \param[in] minExposureTime The minimum exposure time supported + * \param[in] maxExposureTime The maximum exposure time supported * \param[in] minGain The minimum analogue gain supported * \param[in] maxGain The maximum analogue gain supported * - * This function configures the shutter time and analogue gain limits that need + * This function configures the exposure time and analogue gain limits that need * to be adhered to as the helper divides up exposure. Note that this function * *must* be called whenever those limits change and before splitExposure() is * used. * - * If the algorithm using the helpers needs to indicate that either shutter time + * If the algorithm using the helpers needs to indicate that either exposure time * or analogue gain or both should be fixed it can do so by setting both the * minima and maxima to the same value. */ -void ExposureModeHelper::setLimits(utils::Duration minShutter, - utils::Duration maxShutter, +void ExposureModeHelper::setLimits(utils::Duration minExposureTime, + utils::Duration maxExposureTime, double minGain, double maxGain) { - minShutter_ = minShutter; - maxShutter_ = maxShutter; + minExposureTime_ = minExposureTime; + maxExposureTime_ = maxExposureTime; minGain_ = minGain; maxGain_ = maxGain; } -utils::Duration ExposureModeHelper::clampShutter(utils::Duration shutter) const +utils::Duration ExposureModeHelper::clampExposureTime(utils::Duration exposureTime) const { - return std::clamp(shutter, minShutter_, maxShutter_); + return std::clamp(exposureTime, minExposureTime_, maxExposureTime_); } double ExposureModeHelper::clampGain(double gain) const @@ -119,122 +119,121 @@ double ExposureModeHelper::clampGain(double gain) const } /** - * \brief Split exposure time into shutter time and gain - * \param[in] exposure Exposure time + * \brief Split exposure into exposure time and gain + * \param[in] exposure Exposure value * - * This function divides a given exposure time into shutter time, analogue and - * digital gain by iterating through stages of shutter time and gain limits. At - * each stage the current stage's shutter time limit is multiplied by the + * This function divides a given exposure into exposure time, analogue and + * digital gain by iterating through stages of exposure time and gain limits. + * At each stage the current stage's exposure time limit is multiplied by the * previous stage's gain limit (or 1.0 initially) to see if the combination of - * the two can meet the required exposure time. If they cannot then the current - * stage's shutter time limit is multiplied by the same stage's gain limit to + * the two can meet the required exposure. If they cannot then the current + * stage's exposure time limit is multiplied by the same stage's gain limit to * see if that combination can meet the required exposure time. If they cannot * then the function moves to consider the next stage. * - * When a combination of shutter time and gain _stage_ limits are found that are - * sufficient to meet the required exposure time, the function attempts to - * reduce shutter time as much as possible whilst fixing gain and still meeting - * the exposure time. If a _runtime_ limit prevents shutter time from being - * lowered enough to meet the exposure time with gain fixed at the stage limit, - * gain is also lowered to compensate. + * When a combination of exposure time and gain _stage_ limits are found that + * are sufficient to meet the required exposure, the function attempts to reduce + * exposure time as much as possible whilst fixing gain and still meeting the + * exposure. If a _runtime_ limit prevents exposure time from being lowered + * enough to meet the exposure with gain fixed at the stage limit, gain is also + * lowered to compensate. * - * Once the shutter time and gain values are ascertained, gain is assigned as + * Once the exposure time and gain values are ascertained, gain is assigned as * analogue gain as much as possible, with digital gain only in use if the * maximum analogue gain runtime limit is unable to accommodate the exposure * value. * - * If no combination of shutter time and gain limits is found that meets the - * required exposure time, the helper falls-back to simply maximising the - * shutter time first, followed by analogue gain, followed by digital gain. + * If no combination of exposure time and gain limits is found that meets the + * required exposure, the helper falls-back to simply maximising the exposure + * time first, followed by analogue gain, followed by digital gain. * - * \return Tuple of shutter time, analogue gain, and digital gain + * \return Tuple of exposure time, analogue gain, and digital gain */ std::tuple<utils::Duration, double, double> ExposureModeHelper::splitExposure(utils::Duration exposure) const { - ASSERT(maxShutter_); + ASSERT(maxExposureTime_); ASSERT(maxGain_); bool gainFixed = minGain_ == maxGain_; - bool shutterFixed = minShutter_ == maxShutter_; + bool exposureTimeFixed = minExposureTime_ == maxExposureTime_; /* * There's no point entering the loop if we cannot change either gain - * nor shutter anyway. + * nor exposure time anyway. */ - if (shutterFixed && gainFixed) - return { minShutter_, minGain_, exposure / (minShutter_ * minGain_) }; + if (exposureTimeFixed && gainFixed) + return { minExposureTime_, minGain_, exposure / (minExposureTime_ * minGain_) }; - utils::Duration shutter; + utils::Duration exposureTime; double stageGain = 1.0; double gain; for (unsigned int stage = 0; stage < gains_.size(); stage++) { double lastStageGain = stage == 0 ? 1.0 : clampGain(gains_[stage - 1]); - utils::Duration stageShutter = clampShutter(shutters_[stage]); + utils::Duration stageExposureTime = clampExposureTime(exposureTimes_[stage]); stageGain = clampGain(gains_[stage]); /* - * We perform the clamping on both shutter and gain in case the - * helper has had limits set that prevent those values being - * lowered beyond a certain minimum...this can happen at runtime - * for various reasons and so would not be known when the stage - * limits are initialised. + * We perform the clamping on both exposure time and gain in + * case the helper has had limits set that prevent those values + * being lowered beyond a certain minimum...this can happen at + * runtime for various reasons and so would not be known when + * the stage limits are initialised. */ - if (stageShutter * lastStageGain >= exposure) { - shutter = clampShutter(exposure / clampGain(lastStageGain)); - gain = clampGain(exposure / shutter); + /* Clamp the gain to lastStageGain and regulate exposureTime. */ + if (stageExposureTime * lastStageGain >= exposure) { + exposureTime = clampExposureTime(exposure / clampGain(lastStageGain)); + gain = clampGain(exposure / exposureTime); - return { shutter, gain, exposure / (shutter * gain) }; + return { exposureTime, gain, exposure / (exposureTime * gain) }; } - if (stageShutter * stageGain >= exposure) { - shutter = clampShutter(exposure / clampGain(stageGain)); - gain = clampGain(exposure / shutter); + /* Clamp the exposureTime to stageExposureTime and regulate gain. */ + if (stageExposureTime * stageGain >= exposure) { + exposureTime = clampExposureTime(stageExposureTime); + gain = clampGain(exposure / exposureTime); - return { shutter, gain, exposure / (shutter * gain) }; + return { exposureTime, gain, exposure / (exposureTime * gain) }; } } /* - * From here on all we can do is max out the shutter time, followed by + * From here on all we can do is max out the exposure time, followed by * the analogue gain. If we still haven't achieved the target we send * the rest of the exposure time to digital gain. If we were given no * stages to use then the default stageGain of 1.0 is used so that - * shutter time is maxed before gain is touched at all. + * exposure time is maxed before gain is touched at all. */ - shutter = clampShutter(exposure / clampGain(stageGain)); - gain = clampGain(exposure / shutter); + exposureTime = clampExposureTime(exposure / clampGain(stageGain)); + gain = clampGain(exposure / exposureTime); - return { shutter, gain, exposure / (shutter * gain) }; + return { exposureTime, gain, exposure / (exposureTime * gain) }; } /** - * \fn ExposureModeHelper::minShutter() - * \brief Retrieve the configured minimum shutter time limit set through - * setShutterGainLimits() - * \return The minShutter_ value + * \fn ExposureModeHelper::minExposureTime() + * \brief Retrieve the configured minimum exposure time limit set through + * setLimits() + * \return The minExposureTime_ value */ /** - * \fn ExposureModeHelper::maxShutter() - * \brief Retrieve the configured maximum shutter time set through - * setShutterGainLimits() - * \return The maxShutter_ value + * \fn ExposureModeHelper::maxExposureTime() + * \brief Retrieve the configured maximum exposure time set through setLimits() + * \return The maxExposureTime_ value */ /** * \fn ExposureModeHelper::minGain() - * \brief Retrieve the configured minimum gain set through - * setShutterGainLimits() + * \brief Retrieve the configured minimum gain set through setLimits() * \return The minGain_ value */ /** * \fn ExposureModeHelper::maxGain() - * \brief Retrieve the configured maximum gain set through - * setShutterGainLimits() + * \brief Retrieve the configured maximum gain set through setLimits() * \return The maxGain_ value */ diff --git a/src/ipa/libipa/exposure_mode_helper.h b/src/ipa/libipa/exposure_mode_helper.h index 85c665d7..c5be1b67 100644 --- a/src/ipa/libipa/exposure_mode_helper.h +++ b/src/ipa/libipa/exposure_mode_helper.h @@ -24,26 +24,26 @@ public: ExposureModeHelper(const Span<std::pair<utils::Duration, double>> stages); ~ExposureModeHelper() = default; - void setLimits(utils::Duration minShutter, utils::Duration maxShutter, + void setLimits(utils::Duration minExposureTime, utils::Duration maxExposureTime, double minGain, double maxGain); std::tuple<utils::Duration, double, double> splitExposure(utils::Duration exposure) const; - utils::Duration minShutter() const { return minShutter_; } - utils::Duration maxShutter() const { return maxShutter_; } + utils::Duration minExposureTime() const { return minExposureTime_; } + utils::Duration maxExposureTime() const { return maxExposureTime_; } double minGain() const { return minGain_; } double maxGain() const { return maxGain_; } private: - utils::Duration clampShutter(utils::Duration shutter) const; + utils::Duration clampExposureTime(utils::Duration exposureTime) const; double clampGain(double gain) const; - std::vector<utils::Duration> shutters_; + std::vector<utils::Duration> exposureTimes_; std::vector<double> gains_; - utils::Duration minShutter_; - utils::Duration maxShutter_; + utils::Duration minExposureTime_; + utils::Duration maxExposureTime_; double minGain_; double maxGain_; }; diff --git a/src/ipa/libipa/fc_queue.h b/src/ipa/libipa/fc_queue.h index 24d9e82b..a1d13652 100644 --- a/src/ipa/libipa/fc_queue.h +++ b/src/ipa/libipa/fc_queue.h @@ -25,6 +25,7 @@ struct FrameContext { private: template<typename T> friend class FCQueue; uint32_t frame; + bool initialised = false; }; template<typename FrameContext> @@ -38,8 +39,10 @@ public: void clear() { - for (FrameContext &ctx : contexts_) + for (FrameContext &ctx : contexts_) { + ctx.initialised = false; ctx.frame = 0; + } } FrameContext &alloc(const uint32_t frame) @@ -83,6 +86,21 @@ public: << " has been overwritten by " << frameContext.frame; + if (frame == 0 && !frameContext.initialised) { + /* + * If the IPA calls get() at start() time it will get an + * un-intialized FrameContext as the below "frame == + * frameContext.frame" check will return success because + * FrameContexts are zeroed at creation time. + * + * Make sure the FrameContext gets initialised if get() + * is called before alloc() by the IPA for frame#0. + */ + init(frameContext, frame); + + return frameContext; + } + if (frame == frameContext.frame) return frameContext; @@ -108,6 +126,7 @@ private: { frameContext = {}; frameContext.frame = frame; + frameContext.initialised = true; } std::vector<FrameContext> contexts_; diff --git a/src/ipa/rkisp1/utils.cpp b/src/ipa/libipa/fixedpoint.cpp index 960ec64e..6b698fc5 100644 --- a/src/ipa/rkisp1/utils.cpp +++ b/src/ipa/libipa/fixedpoint.cpp @@ -2,18 +2,18 @@ /* * Copyright (C) 2024, Paul Elder <paul.elder@ideasonboard.com> * - * Miscellaneous utility functions specific to rkisp1 + * Fixed / floating point conversions */ -#include "utils.h" +#include "fixedpoint.h" /** - * \file utils.h + * \file fixedpoint.h */ namespace libcamera { -namespace ipa::rkisp1::utils { +namespace ipa { /** * \fn R floatingToFixedPoint(T number) @@ -37,6 +37,6 @@ namespace ipa::rkisp1::utils { * \return The converted value */ -} /* namespace ipa::rkisp1::utils */ +} /* namespace ipa */ } /* namespace libcamera */ diff --git a/src/ipa/rkisp1/utils.h b/src/ipa/libipa/fixedpoint.h index 450f2244..709cf50f 100644 --- a/src/ipa/rkisp1/utils.h +++ b/src/ipa/libipa/fixedpoint.h @@ -2,18 +2,17 @@ /* * Copyright (C) 2024, Paul Elder <paul.elder@ideasonboard.com> * - * Miscellaneous utility functions specific to rkisp1 + * Fixed / floating point conversions */ #pragma once #include <cmath> -#include <limits> #include <type_traits> namespace libcamera { -namespace ipa::rkisp1::utils { +namespace ipa { #ifndef __DOXYGEN__ template<unsigned int I, unsigned int F, typename R, typename T, @@ -61,6 +60,6 @@ constexpr R fixedToFloatingPoint(T number) return static_cast<R>(t) / static_cast<R>(1 << F); } -} /* namespace ipa::rkisp1::utils */ +} /* namespace ipa */ } /* namespace libcamera */ diff --git a/src/ipa/libipa/histogram.cpp b/src/ipa/libipa/histogram.cpp index 5fbfadf5..bcf26390 100644 --- a/src/ipa/libipa/histogram.cpp +++ b/src/ipa/libipa/histogram.cpp @@ -63,6 +63,12 @@ Histogram::Histogram(Span<const uint32_t> data) */ /** + * \fn Histogram::data() + * \brief Retrieve the internal data + * \return The data + */ + +/** * \fn Histogram::total() * \brief Retrieve the total number of values in the data set * \return Number of values @@ -124,7 +130,8 @@ double Histogram::quantile(double q, uint32_t first, uint32_t last) const if (cumulative_[first + 1] == cumulative_[first]) frac = 0; else - frac = (item - cumulative_[first]) / (cumulative_[first + 1] - cumulative_[first]); + frac = (q * total() - cumulative_[first]) + / (cumulative_[first + 1] - cumulative_[first]); return first + frac; } @@ -142,26 +149,37 @@ double Histogram::quantile(double q, uint32_t first, uint32_t last) const double Histogram::interQuantileMean(double lowQuantile, double highQuantile) const { ASSERT(highQuantile > lowQuantile); - /* Proportion of pixels which lies below lowQuantile */ - double lowPoint = quantile(lowQuantile); - /* Proportion of pixels which lies below highQuantile */ - double highPoint = quantile(highQuantile, static_cast<uint32_t>(lowPoint)); - double sumBinFreq = 0, cumulFreq = 0; - - for (double p_next = floor(lowPoint) + 1.0; - p_next <= ceil(highPoint); - lowPoint = p_next, p_next += 1.0) { - int bin = floor(lowPoint); + + /* Proportion of pixels which lies below lowQuantile and highQuantile. */ + const double lowPoint = quantile(lowQuantile); + const double highPoint = quantile(highQuantile, static_cast<uint32_t>(lowPoint)); + + double sumBinFreq = 0; + double cumulFreq = 0; + + /* + * Calculate the mean pixel value between the low and high points by + * summing all the pixels between the two points, and dividing the sum + * by the number of pixels. Given the discrete nature of the histogram + * data, the sum of the pixels is approximated by accumulating the + * product of the bin values (calculated as the mid point of the bin) by + * the number of pixels they contain, for each bin in the internal. + */ + for (unsigned bin = std::floor(lowPoint); bin < std::ceil(highPoint); bin++) { + const double lowBound = std::max<double>(bin, lowPoint); + const double highBound = std::min<double>(bin + 1, highPoint); + double freq = (cumulative_[bin + 1] - cumulative_[bin]) - * (std::min(p_next, highPoint) - lowPoint); + * (highBound - lowBound); /* Accumulate weighted bin */ - sumBinFreq += bin * freq; + sumBinFreq += (highBound + lowBound) / 2 * freq; + /* Accumulate weights */ cumulFreq += freq; } - /* add 0.5 to give an average for bin mid-points */ - return sumBinFreq / cumulFreq + 0.5; + + return sumBinFreq / cumulFreq; } } /* namespace ipa */ diff --git a/src/ipa/libipa/histogram.h b/src/ipa/libipa/histogram.h index 032adca0..a926002c 100644 --- a/src/ipa/libipa/histogram.h +++ b/src/ipa/libipa/histogram.h @@ -7,7 +7,6 @@ #pragma once -#include <assert.h> #include <limits.h> #include <stdint.h> #include <type_traits> @@ -37,6 +36,7 @@ public: } size_t bins() const { return cumulative_.size() - 1; } + const Span<const uint64_t> data() const { return cumulative_; } uint64_t total() const { return cumulative_[cumulative_.size() - 1]; } uint64_t cumulativeFrequency(double bin) const; double quantile(double q, uint32_t first = 0, uint32_t last = UINT_MAX) const; diff --git a/src/ipa/libipa/interpolator.cpp b/src/ipa/libipa/interpolator.cpp new file mode 100644 index 00000000..f901a86e --- /dev/null +++ b/src/ipa/libipa/interpolator.cpp @@ -0,0 +1,163 @@ +/* SPDX-License-Identifier: LGPL-2.1-or-later */ +/* + * Copyright (C) 2024, Paul Elder <paul.elder@ideasonboard.com> + * + * Helper class for interpolating objects + */ +#include "interpolator.h" + +#include <algorithm> +#include <string> + +#include <libcamera/base/log.h> + +#include "libcamera/internal/yaml_parser.h" + +#include "interpolator.h" + +/** + * \file interpolator.h + * \brief Helper class for linear interpolating a set of objects + */ + +namespace libcamera { + +LOG_DEFINE_CATEGORY(Interpolator) + +namespace ipa { + +/** + * \class Interpolator + * \brief Class for storing, retrieving, and interpolating objects + * \tparam T Type of objects stored in the interpolator + * + * The main use case is to pass a map from color temperatures to corresponding + * objects (eg. matrices for color correction), and then requesting a + * interpolated object for a specific color temperature. This class will + * abstract away the interpolation portion. + */ + +/** + * \fn Interpolator::Interpolator() + * \brief Construct an empty interpolator + */ + +/** + * \fn Interpolator::Interpolator(const std::map<unsigned int, T> &data) + * \brief Construct an interpolator from a map of objects + * \param data Map from which to construct the interpolator + */ + +/** + * \fn Interpolator::Interpolator(std::map<unsigned int, T> &&data) + * \brief Construct an interpolator from a map of objects + * \param data Map from which to construct the interpolator + */ + +/** + * \fn int Interpolator<T>::readYaml(const libcamera::YamlObject &yaml, + const std::string &key_name, + const std::string &value_name) + * \brief Initialize an Interpolator instance from yaml + * \tparam T Type of data stored in the interpolator + * \param[in] yaml The yaml object that contains the map of unsigned integers to + * objects + * \param[in] key_name The name of the key in the yaml object + * \param[in] value_name The name of the value in the yaml object + * + * The yaml object is expected to be a list of maps. Each map has two or more + * pairs: one of \a key_name to the key value (usually color temperature), and + * one or more of \a value_name to the object. This is a bit difficult to + * explain, so here is an example (in python, as it is easier to parse than + * yaml): + * [ + * { + * 'ct': 2860, + * 'ccm': [ 2.12089, -0.52461, -0.59629, + * -0.85342, 2.80445, -0.95103, + * -0.26897, -1.14788, 2.41685 ], + * 'offsets': [ 0, 0, 0 ] + * }, + * + * { + * 'ct': 2960, + * 'ccm': [ 2.26962, -0.54174, -0.72789, + * -0.77008, 2.60271, -0.83262, + * -0.26036, -1.51254, 2.77289 ], + * 'offsets': [ 0, 0, 0 ] + * }, + * + * { + * 'ct': 3603, + * 'ccm': [ 2.18644, -0.66148, -0.52496, + * -0.77828, 2.69474, -0.91645, + * -0.25239, -0.83059, 2.08298 ], + * 'offsets': [ 0, 0, 0 ] + * }, + * ] + * + * In this case, \a key_name would be 'ct', and \a value_name can be either + * 'ccm' or 'offsets'. This way multiple interpolators can be defined in + * one set of color temperature ranges in the tuning file, and they can be + * retrieved separately with the \a value_name parameter. + * + * \return Zero on success, negative error code otherwise + */ + +/** + * \fn void Interpolator<T>::setQuantization(const unsigned int q) + * \brief Set the quantization value + * \param[in] q The quantization value + * + * Sets the quantization value. When this is set, 'key' gets quantized to this + * size, before doing the interpolation. This can help in reducing the number of + * updates pushed to the hardware. + * + * Note that normally a threshold needs to be combined with quantization. + * Otherwise a value that swings around the edge of the quantization step will + * lead to constant updates. + */ + +/** + * \fn void Interpolator<T>::setData(std::map<unsigned int, T> &&data) + * \brief Set the internal map + * + * Overwrites the internal map using move semantics. + */ + +/** + * \fn std::map<unsigned int, T> &Interpolator<T>::data() const + * \brief Access the internal map + * + * \return The internal map + */ + +/** + * \fn const T& Interpolator<T>::getInterpolated() + * \brief Retrieve an interpolated value for the given key + * \param[in] key The unsigned integer key of the object to retrieve + * \param[out] quantizedKey If provided, the key value after quantization + * \return The object corresponding to the key. The object is cached internally, + * so on successive calls with the same key (after quantization) interpolation + * is not recalculated. + */ + +/** + * \fn void Interpolator<T>::interpolate(const T &a, const T &b, T &dest, double lambda) + * \brief Interpolate between two instances of T + * \param a The first value to interpolate + * \param b The second value to interpolate + * \param dest The destination for the interpolated value + * \param lambda The interpolation factor (0..1) + * + * Interpolates between \a a and \a b according to \a lambda. It calculates + * dest = a * (1.0 - lambda) + b * lambda; + * + * If T supports multiplication with double and addition, this function can be + * used as is. For other types this function can be overwritten using partial + * template specialization. + */ + +} /* namespace ipa */ + +} /* namespace libcamera */ diff --git a/src/ipa/libipa/interpolator.h b/src/ipa/libipa/interpolator.h new file mode 100644 index 00000000..7880db69 --- /dev/null +++ b/src/ipa/libipa/interpolator.h @@ -0,0 +1,136 @@ +/* SPDX-License-Identifier: LGPL-2.1-or-later */ +/* + * Copyright (C) 2024, Paul Elder <paul.elder@ideasonboard.com> + * + * Helper class for interpolating maps of objects + */ + +#pragma once + +#include <algorithm> +#include <cmath> +#include <map> +#include <string> +#include <tuple> + +#include <libcamera/base/log.h> + +#include "libcamera/internal/yaml_parser.h" + +namespace libcamera { + +LOG_DECLARE_CATEGORY(Interpolator) + +namespace ipa { + +template<typename T> +class Interpolator +{ +public: + Interpolator() = default; + Interpolator(const std::map<unsigned int, T> &data) + : data_(data) + { + } + Interpolator(std::map<unsigned int, T> &&data) + : data_(std::move(data)) + { + } + + ~Interpolator() = default; + + int readYaml(const libcamera::YamlObject &yaml, + const std::string &key_name, + const std::string &value_name) + { + data_.clear(); + lastInterpolatedKey_.reset(); + + if (!yaml.isList()) { + LOG(Interpolator, Error) << "yaml object must be a list"; + return -EINVAL; + } + + for (const auto &value : yaml.asList()) { + unsigned int ct = std::stoul(value[key_name].get<std::string>("")); + std::optional<T> data = + value[value_name].get<T>(); + if (!data) { + return -EINVAL; + } + + data_[ct] = *data; + } + + if (data_.size() < 1) { + LOG(Interpolator, Error) << "Need at least one element"; + return -EINVAL; + } + + return 0; + } + + void setQuantization(const unsigned int q) + { + quantization_ = q; + } + + void setData(std::map<unsigned int, T> &&data) + { + data_ = std::move(data); + lastInterpolatedKey_.reset(); + } + + const std::map<unsigned int, T> &data() const + { + return data_; + } + + const T &getInterpolated(unsigned int key, unsigned int *quantizedKey = nullptr) + { + ASSERT(data_.size() > 0); + + if (quantization_ > 0) + key = std::lround(key / static_cast<double>(quantization_)) * quantization_; + + if (quantizedKey) + *quantizedKey = key; + + if (lastInterpolatedKey_.has_value() && + *lastInterpolatedKey_ == key) + return lastInterpolatedValue_; + + auto it = data_.lower_bound(key); + + if (it == data_.begin()) + return it->second; + + if (it == data_.end()) + return std::prev(it)->second; + + if (it->first == key) + return it->second; + + auto it2 = std::prev(it); + double lambda = (key - it2->first) / static_cast<double>(it->first - it2->first); + interpolate(it2->second, it->second, lastInterpolatedValue_, lambda); + lastInterpolatedKey_ = key; + + return lastInterpolatedValue_; + } + + void interpolate(const T &a, const T &b, T &dest, double lambda) + { + dest = a * (1.0 - lambda) + b * lambda; + } + +private: + std::map<unsigned int, T> data_; + T lastInterpolatedValue_; + std::optional<unsigned int> lastInterpolatedKey_; + unsigned int quantization_ = 0; +}; + +} /* namespace ipa */ + +} /* namespace libcamera */ diff --git a/src/ipa/libipa/lsc_polynomial.cpp b/src/ipa/libipa/lsc_polynomial.cpp new file mode 100644 index 00000000..f607d86c --- /dev/null +++ b/src/ipa/libipa/lsc_polynomial.cpp @@ -0,0 +1,81 @@ +/* SPDX-License-Identifier: LGPL-2.1-or-later */ +/* + * Copyright (C) 2024, Ideas On Board + * + * Polynomial class to represent lens shading correction + */ + +#include "lsc_polynomial.h" + +#include <libcamera/base/log.h> + +/** + * \file lsc_polynomial.h + * \brief LscPolynomial class + */ + +namespace libcamera { + +LOG_DEFINE_CATEGORY(LscPolynomial) + +namespace ipa { + +/** + * \class LscPolynomial + * \brief Class for handling even polynomials used in lens shading correction + * + * Shading artifacts of camera lenses can be modeled using even radial + * polynomials. This class implements a polynomial with 5 coefficients which + * follows the definition of the FixVignetteRadial opcode in the Adobe DNG + * specification. + */ + +/** + * \fn LscPolynomial::LscPolynomial(double cx = 0.0, double cy = 0.0, double k0 = 0.0, + double k1 = 0.0, double k2 = 0.0, double k3 = 0.0, + double k4 = 0.0) + * \brief Construct a polynomial using the given coefficients + * \param cx Center-x relative to the image in normalized coordinates (0..1) + * \param cy Center-y relative to the image in normalized coordinates (0..1) + * \param k0 Coefficient of the polynomial + * \param k1 Coefficient of the polynomial + * \param k2 Coefficient of the polynomial + * \param k3 Coefficient of the polynomial + * \param k4 Coefficient of the polynomial + */ + +/** + * \fn LscPolynomial::sampleAtNormalizedPixelPos(double x, double y) + * \brief Sample the polynomial at the given normalized pixel position + * + * This functions samples the polynomial at the given pixel position divided by + * the value returned by getM(). + * + * \param x x position in normalized coordinates + * \param y y position in normalized coordinates + * \return The sampled value + */ + +/** + * \fn LscPolynomial::getM() + * \brief Get the value m as described in the dng specification + * + * Returns m according to dng spec. m represents the Euclidean distance + * (in pixels) from the optical center to the farthest pixel in the + * image. + * + * \return The sampled value + */ + +/** + * \fn LscPolynomial::setReferenceImageSize(const Size &size) + * \brief Set the reference image size + * + * Set the reference image size that is used for subsequent calls to getM() and + * sampleAtNormalizedPixelPos() + * + * \param size The size of the reference image + */ + +} // namespace ipa +} // namespace libcamera diff --git a/src/ipa/libipa/lsc_polynomial.h b/src/ipa/libipa/lsc_polynomial.h new file mode 100644 index 00000000..c898faeb --- /dev/null +++ b/src/ipa/libipa/lsc_polynomial.h @@ -0,0 +1,105 @@ +/* SPDX-License-Identifier: LGPL-2.1-or-later */ +/* + * Copyright (C) 2024, Ideas On Board + * + * Helper for radial polynomial used in lens shading correction. + */ +#pragma once + +#include <algorithm> +#include <array> +#include <assert.h> +#include <cmath> + +#include <libcamera/base/log.h> +#include <libcamera/base/span.h> + +#include "libcamera/internal/yaml_parser.h" + +namespace libcamera { + +LOG_DECLARE_CATEGORY(LscPolynomial) + +namespace ipa { + +class LscPolynomial +{ +public: + LscPolynomial(double cx = 0.0, double cy = 0.0, double k0 = 0.0, + double k1 = 0.0, double k2 = 0.0, double k3 = 0.0, + double k4 = 0.0) + : cx_(cx), cy_(cy), cnx_(0), cny_(0), + coefficients_({ k0, k1, k2, k3, k4 }) + { + } + + double sampleAtNormalizedPixelPos(double x, double y) const + { + double dx = x - cnx_; + double dy = y - cny_; + double r = sqrt(dx * dx + dy * dy); + double res = 1.0; + for (unsigned int i = 0; i < coefficients_.size(); i++) { + res += coefficients_[i] * std::pow(r, (i + 1) * 2); + } + return res; + } + + double getM() const + { + double cpx = imageSize_.width * cx_; + double cpy = imageSize_.height * cy_; + double mx = std::max(cpx, std::fabs(imageSize_.width - cpx)); + double my = std::max(cpy, std::fabs(imageSize_.height - cpy)); + + return sqrt(mx * mx + my * my); + } + + void setReferenceImageSize(const Size &size) + { + assert(!size.isNull()); + imageSize_ = size; + + /* Calculate normalized centers */ + double m = getM(); + cnx_ = (size.width * cx_) / m; + cny_ = (size.height * cy_) / m; + } + +private: + double cx_; + double cy_; + double cnx_; + double cny_; + std::array<double, 5> coefficients_; + + Size imageSize_; +}; + +} /* namespace ipa */ + +#ifndef __DOXYGEN__ + +template<> +struct YamlObject::Getter<ipa::LscPolynomial> { + std::optional<ipa::LscPolynomial> get(const YamlObject &obj) const + { + std::optional<double> cx = obj["cx"].get<double>(); + std::optional<double> cy = obj["cy"].get<double>(); + std::optional<double> k0 = obj["k0"].get<double>(); + std::optional<double> k1 = obj["k1"].get<double>(); + std::optional<double> k2 = obj["k2"].get<double>(); + std::optional<double> k3 = obj["k3"].get<double>(); + std::optional<double> k4 = obj["k4"].get<double>(); + + if (!(cx && cy && k0 && k1 && k2 && k3 && k4)) + LOG(LscPolynomial, Error) + << "Polynomial is missing a parameter"; + + return ipa::LscPolynomial(*cx, *cy, *k0, *k1, *k2, *k3, *k4); + } +}; + +#endif + +} /* namespace libcamera */ diff --git a/src/ipa/libipa/lux.cpp b/src/ipa/libipa/lux.cpp new file mode 100644 index 00000000..899e8824 --- /dev/null +++ b/src/ipa/libipa/lux.cpp @@ -0,0 +1,173 @@ +/* SPDX-License-Identifier: BSD-2-Clause */ +/* + * Copyright (C) 2019, Raspberry Pi Ltd + * Copyright (C) 2024, Paul Elder <paul.elder@ideasonboard.com> + * + * Helper class that implements lux estimation + */ +#include "lux.h" + +#include <algorithm> +#include <chrono> + +#include <libcamera/base/log.h> + +#include "libcamera/internal/yaml_parser.h" + +#include "histogram.h" + +/** + * \file lux.h + * \brief Helper class that implements lux estimation + * + * Estimating the lux level of an image is a common operation that can for + * instance be used to adjust the target Y value in AGC or for Bayesian AWB + * estimation. + */ + +namespace libcamera { + +using namespace std::literals::chrono_literals; + +LOG_DEFINE_CATEGORY(Lux) + +namespace ipa { + +/** + * \class Lux + * \brief Class that implements lux estimation + * + * IPAs that wish to use lux estimation should create a Lux algorithm module + * that lightly wraps this module by providing the platform-specific luminance + * histogram. The Lux entry in the tuning file must then precede the algorithms + * that depend on the estimated lux value. + */ + +/** + * \var Lux::referenceExposureTime_ + * \brief The exposure time of the reference image, in microseconds + */ + +/** + * \var Lux::referenceAnalogueGain_ + * \brief The analogue gain of the reference image + */ + +/** + * \var Lux::referenceDigitalGain_ + * \brief The analogue gain of the reference image + */ + +/** + * \var Lux::referenceY_ + * \brief The measured luminance of the reference image, normalized to 1 + * + */ + +/** + * \var Lux::referenceLux_ + * \brief The estimated lux level of the reference image + */ + +/** + * \brief Construct the Lux helper module + */ +Lux::Lux() +{ +} + +/** + * \brief Parse tuning data + * \param[in] tuningData The YamlObject representing the tuning data + * + * This function parses yaml tuning data for the common Lux module. It requires + * reference exposure time, analogue gain, digital gain, and lux values. + * + * \code{.unparsed} + * algorithms: + * - Lux: + * referenceExposureTime: 10000 + * referenceAnalogueGain: 4.0 + * referenceDigitalGain: 1.0 + * referenceY: 0.1831 + * referenceLux: 1000 + * \endcode + * + * \return 0 on success or a negative error code + */ +int Lux::parseTuningData(const YamlObject &tuningData) +{ + auto value = tuningData["referenceExposureTime"].get<double>(); + if (!value) { + LOG(Lux, Error) << "Missing tuning parameter: " + << "'referenceExposureTime'"; + return -EINVAL; + } + referenceExposureTime_ = *value * 1.0us; + + value = tuningData["referenceAnalogueGain"].get<double>(); + if (!value) { + LOG(Lux, Error) << "Missing tuning parameter: " + << "'referenceAnalogueGain'"; + return -EINVAL; + } + referenceAnalogueGain_ = *value; + + value = tuningData["referenceDigitalGain"].get<double>(); + if (!value) { + LOG(Lux, Error) << "Missing tuning parameter: " + << "'referenceDigitalGain'"; + return -EINVAL; + } + referenceDigitalGain_ = *value; + + value = tuningData["referenceY"].get<double>(); + if (!value) { + LOG(Lux, Error) << "Missing tuning parameter: " + << "'referenceY'"; + return -EINVAL; + } + referenceY_ = *value; + + value = tuningData["referenceLux"].get<double>(); + if (!value) { + LOG(Lux, Error) << "Missing tuning parameter: " + << "'referenceLux'"; + return -EINVAL; + } + referenceLux_ = *value; + + return 0; +} + +/** + * \brief Estimate lux given runtime values + * \param[in] exposureTime Exposure time applied to the frame + * \param[in] aGain Analogue gain applied to the frame + * \param[in] dGain Digital gain applied to the frame + * \param[in] yHist Histogram from the ISP statistics + * + * Estimate the lux given the exposure time, gain, and histogram. + * + * \return Estimated lux value + */ +double Lux::estimateLux(utils::Duration exposureTime, + double aGain, double dGain, + const Histogram &yHist) const +{ + double currentY = yHist.interQuantileMean(0, 1); + double exposureTimeRatio = referenceExposureTime_ / exposureTime; + double aGainRatio = referenceAnalogueGain_ / aGain; + double dGainRatio = referenceDigitalGain_ / dGain; + double yRatio = (currentY / yHist.bins()) / referenceY_; + + double estimatedLux = exposureTimeRatio * aGainRatio * dGainRatio * + yRatio * referenceLux_; + + LOG(Lux, Debug) << "Estimated lux " << estimatedLux; + return estimatedLux; +} + +} /* namespace ipa */ + +} /* namespace libcamera */ diff --git a/src/ipa/libipa/lux.h b/src/ipa/libipa/lux.h new file mode 100644 index 00000000..d95bcdaf --- /dev/null +++ b/src/ipa/libipa/lux.h @@ -0,0 +1,41 @@ +/* SPDX-License-Identifier: BSD-2-Clause */ +/* + * Copyright (C) 2019, Raspberry Pi Ltd + * Copyright (C) 2024, Paul Elder <paul.elder@ideasonboard.com> + * + * Helper class that implements lux estimation + */ + +#pragma once + +#include <libcamera/base/utils.h> + +namespace libcamera { + +class YamlObject; + +namespace ipa { + +class Histogram; + +class Lux +{ +public: + Lux(); + + int parseTuningData(const YamlObject &tuningData); + double estimateLux(utils::Duration exposureTime, + double aGain, double dGain, + const Histogram &yHist) const; + +private: + utils::Duration referenceExposureTime_; + double referenceAnalogueGain_; + double referenceDigitalGain_; + double referenceY_; + double referenceLux_; +}; + +} /* namespace ipa */ + +} /* namespace libcamera */ diff --git a/src/ipa/libipa/matrix.cpp b/src/ipa/libipa/matrix.cpp deleted file mode 100644 index 8346f0d3..00000000 --- a/src/ipa/libipa/matrix.cpp +++ /dev/null @@ -1,149 +0,0 @@ -/* SPDX-License-Identifier: LGPL-2.1-or-later */ -/* - * Copyright (C) 2024, Paul Elder <paul.elder@ideasonboard.com> - * - * Matrix and related operations - */ - -#include "matrix.h" - -#include <libcamera/base/log.h> - -/** - * \file matrix.h - * \brief Matrix class - */ - -namespace libcamera { - -LOG_DEFINE_CATEGORY(Matrix) - -namespace ipa { - -/** - * \class Matrix - * \brief Matrix class - * \tparam T Type of numerical values to be stored in the matrix - * \tparam Rows Number of rows in the matrix - * \tparam Cols Number of columns in the matrix - */ - -/** - * \fn Matrix::Matrix() - * \brief Construct a zero matrix - */ - -/** - * \fn Matrix::Matrix(const std::vector<T> &data) - * \brief Construct a matrix from supplied data - * \param[in] data Data from which to construct a matrix - * - * \a data is a one-dimensional vector and will be turned into a matrix in - * row-major order. The size of \a data must be equal to the product of the - * number of rows and columns of the matrix (Rows x Cols). - */ - -/** - * \fn Matrix::identity() - * \brief Construct an identity matrix - */ - -/** - * \fn Matrix::toString() - * \brief Assemble and return a string describing the matrix - * \return A string describing the matrix - */ - -/** - * \fn Span<const T, Cols> Matrix::operator[](size_t i) const - * \brief Index to a row in the matrix - * \param[in] i Index of row to retrieve - * - * This operator[] returns a Span, which can then be indexed into again with - * another operator[], allowing a convenient m[i][j] to access elements of the - * matrix. Note that the lifetime of the Span returned by this first-level - * operator[] is bound to that of the Matrix itself, so it is not recommended - * to save the Span that is the result of this operator[]. - * - * \return Row \a i from the matrix, as a Span - */ - -/** - * \fn Matrix::operator[](size_t i) - * \copydoc Matrix::operator[](size_t i) const - */ - -/** - * \fn Matrix<T, Rows, Cols> &Matrix::operator*=(U d) - * \brief Multiply the matrix by a scalar in-place - * \tparam U Type of the numerical scalar value - * \param d The scalar multiplier - * \return Product of this matrix and scalar \a d - */ - -/** - * \fn Matrix::Matrix<U, Rows, Cols> operator*(T d, const Matrix<U, Rows, Cols> &m) - * \brief Multiply the matrix by a scalar - * \tparam T Type of the numerical scalar value - * \tparam U Type of numerical values in the matrix - * \tparam Rows Number of rows in the matrix - * \tparam Cols Number of columns in the matrix - * \param d The scalar multiplier - * \param m The matrix - * \return Product of scalar \a d and matrix \a m - */ - -/** - * \fn Matrix::Matrix<U, Rows, Cols> operator*(const Matrix<U, Rows, Cols> &m, T d) - * \copydoc operator*(T d, const Matrix<U, Rows, Cols> &m) - */ - -/** - * \fn Matrix<T, R1, C2> operator*(const Matrix<T, R1, C1> &m1, const Matrix<T, R2, C2> &m2) - * \brief Matrix multiplication - * \tparam T Type of numerical values in the matrices - * \tparam R1 Number of rows in the first matrix - * \tparam C1 Number of columns in the first matrix - * \tparam R2 Number of rows in the second matrix - * \tparam C2 Number of columns in the second matrix - * \param m1 Multiplicand matrix - * \param m2 Multiplier matrix - * \return Matrix product of matrices \a m1 and \a m2 - */ - -/** - * \fn Matrix<T, Rows, Cols> operator+(const Matrix<T, Rows, Cols> &m1, const Matrix<T, Rows, Cols> &m2) - * \brief Matrix addition - * \tparam T Type of numerical values in the matrices - * \tparam Rows Number of rows in the matrices - * \tparam Cols Number of columns in the matrices - * \param m1 Summand matrix - * \param m2 Summand matrix - * \return Matrix sum of matrices \a m1 and \a m2 - */ - -#ifndef __DOXYGEN__ -/* - * The YAML data shall be a list of numerical values. Its size shall be equal - * to the product of the number of rows and columns of the matrix (Rows x - * Cols). The values shall be stored in row-major order. - */ -bool matrixValidateYaml(const YamlObject &obj, unsigned int size) -{ - if (!obj.isList()) - return false; - - if (obj.size() != size) { - LOG(Matrix, Error) - << "Wrong number of values in matrix: expected " - << size << ", got " << obj.size(); - return false; - } - - return true; -} -#endif /* __DOXYGEN__ */ - -} /* namespace ipa */ - -} /* namespace libcamera */ diff --git a/src/ipa/libipa/matrix.h b/src/ipa/libipa/matrix.h deleted file mode 100644 index 8aa8f343..00000000 --- a/src/ipa/libipa/matrix.h +++ /dev/null @@ -1,204 +0,0 @@ -/* SPDX-License-Identifier: LGPL-2.1-or-later */ -/* - * Copyright (C) 2024, Paul Elder <paul.elder@ideasonboard.com> - * - * Matrix and related operations - */ -#pragma once - -#include <algorithm> -#include <cmath> -#include <sstream> -#include <vector> - -#include <libcamera/base/log.h> -#include <libcamera/base/span.h> - -#include "libcamera/internal/yaml_parser.h" - -namespace libcamera { - -LOG_DECLARE_CATEGORY(Matrix) - -namespace ipa { - -#ifndef __DOXYGEN__ -template<typename T, unsigned int Rows, unsigned int Cols, - std::enable_if_t<std::is_arithmetic_v<T>> * = nullptr> -#else -template<typename T, unsigned int Rows, unsigned int Cols> -#endif /* __DOXYGEN__ */ -class Matrix -{ -public: - Matrix() - { - data_.fill(static_cast<T>(0)); - } - - Matrix(const std::vector<T> &data) - { - std::copy(data.begin(), data.end(), data_.begin()); - } - - static Matrix identity() - { - Matrix ret; - for (size_t i = 0; i < std::min(Rows, Cols); i++) - ret[i][i] = static_cast<T>(1); - return ret; - } - - ~Matrix() = default; - - const std::string toString() const - { - std::stringstream out; - - out << "Matrix { "; - for (unsigned int i = 0; i < Rows; i++) { - out << "[ "; - for (unsigned int j = 0; j < Cols; j++) { - out << (*this)[i][j]; - out << ((j + 1 < Cols) ? ", " : " "); - } - out << ((i + 1 < Rows) ? "], " : "]"); - } - out << " }"; - - return out.str(); - } - - Span<const T, Cols> operator[](size_t i) const - { - return Span<const T, Cols>{ &data_.data()[i * Cols], Cols }; - } - - Span<T, Cols> operator[](size_t i) - { - return Span<T, Cols>{ &data_.data()[i * Cols], Cols }; - } - -#ifndef __DOXYGEN__ - template<typename U, std::enable_if_t<std::is_arithmetic_v<U>>> -#else - template<typename U> -#endif /* __DOXYGEN__ */ - Matrix<T, Rows, Cols> &operator*=(U d) - { - for (unsigned int i = 0; i < Rows * Cols; i++) - data_[i] *= d; - return *this; - } - -private: - std::array<T, Rows * Cols> data_; -}; - -#ifndef __DOXYGEN__ -template<typename T, typename U, unsigned int Rows, unsigned int Cols, - std::enable_if_t<std::is_arithmetic_v<T>> * = nullptr> -#else -template<typename T, typename U, unsigned int Rows, unsigned int Cols> -#endif /* __DOXYGEN__ */ -Matrix<U, Rows, Cols> operator*(T d, const Matrix<U, Rows, Cols> &m) -{ - Matrix<U, Rows, Cols> result; - - for (unsigned int i = 0; i < Rows; i++) { - for (unsigned int j = 0; j < Cols; j++) - result[i][j] = d * m[i][j]; - } - - return result; -} - -#ifndef __DOXYGEN__ -template<typename T, typename U, unsigned int Rows, unsigned int Cols, - std::enable_if_t<std::is_arithmetic_v<T>> * = nullptr> -#else -template<typename T, typename U, unsigned int Rows, unsigned int Cols> -#endif /* __DOXYGEN__ */ -Matrix<U, Rows, Cols> operator*(const Matrix<U, Rows, Cols> &m, T d) -{ - return d * m; -} - -#ifndef __DOXYGEN__ -template<typename T, - unsigned int R1, unsigned int C1, - unsigned int R2, unsigned int C2, - std::enable_if_t<C1 == R2> * = nullptr> -#else -template<typename T, unsigned int R1, unsigned int C1, unsigned int R2, unsigned in C2> -#endif /* __DOXYGEN__ */ -Matrix<T, R1, C2> operator*(const Matrix<T, R1, C1> &m1, const Matrix<T, R2, C2> &m2) -{ - Matrix<T, R1, C2> result; - - for (unsigned int i = 0; i < R1; i++) { - for (unsigned int j = 0; j < C2; j++) { - T sum = 0; - - for (unsigned int k = 0; k < C1; k++) - sum += m1[i][k] * m2[k][j]; - - result[i][j] = sum; - } - } - - return result; -} - -template<typename T, unsigned int Rows, unsigned int Cols> -Matrix<T, Rows, Cols> operator+(const Matrix<T, Rows, Cols> &m1, const Matrix<T, Rows, Cols> &m2) -{ - Matrix<T, Rows, Cols> result; - - for (unsigned int i = 0; i < Rows; i++) { - for (unsigned int j = 0; j < Cols; j++) - result[i][j] = m1[i][j] + m2[i][j]; - } - - return result; -} - -#ifndef __DOXYGEN__ -bool matrixValidateYaml(const YamlObject &obj, unsigned int size); -#endif /* __DOXYGEN__ */ - -} /* namespace ipa */ - -#ifndef __DOXYGEN__ -template<typename T, unsigned int Rows, unsigned int Cols> -std::ostream &operator<<(std::ostream &out, const ipa::Matrix<T, Rows, Cols> &m) -{ - out << m.toString(); - return out; -} - -template<typename T, unsigned int Rows, unsigned int Cols> -struct YamlObject::Getter<ipa::Matrix<T, Rows, Cols>> { - std::optional<ipa::Matrix<T, Rows, Cols>> get(const YamlObject &obj) const - { - if (!ipa::matrixValidateYaml(obj, Rows * Cols)) - return std::nullopt; - - ipa::Matrix<T, Rows, Cols> matrix; - T *data = &matrix[0][0]; - - unsigned int i = 0; - for (const YamlObject &entry : obj.asList()) { - const auto value = entry.get<T>(); - if (!value) - return std::nullopt; - - data[i++] = *value; - } - - return matrix; - } -}; -#endif /* __DOXYGEN__ */ - -} /* namespace libcamera */ diff --git a/src/ipa/libipa/matrix_interpolator.cpp b/src/ipa/libipa/matrix_interpolator.cpp deleted file mode 100644 index 04ca177f..00000000 --- a/src/ipa/libipa/matrix_interpolator.cpp +++ /dev/null @@ -1,110 +0,0 @@ -/* SPDX-License-Identifier: LGPL-2.1-or-later */ -/* - * Copyright (C) 2024, Paul Elder <paul.elder@ideasonboard.com> - * - * Helper class for interpolating maps of matrices - */ -#include "matrix_interpolator.h" - -#include <algorithm> -#include <string> - -#include <libcamera/base/log.h> - -#include "libcamera/internal/yaml_parser.h" - -#include "matrix.h" - -/** - * \file matrix_interpolator.h - * \brief Helper class for interpolating maps of matrices - */ - -namespace libcamera { - -LOG_DEFINE_CATEGORY(MatrixInterpolator) - -namespace ipa { - -/** - * \class MatrixInterpolator - * \brief Class for storing, retrieving, and interpolating matrices - * \tparam T Type of numerical values to be stored in the matrices - * \tparam R Number of rows in the matrices - * \tparam C Number of columns in the matrices - * - * The main use case is to pass a map from color temperatures to corresponding - * matrices (eg. color correction), and then requesting a matrix for a specific - * color temperature. This class will abstract away the interpolation portion. - */ - -/** - * \fn MatrixInterpolator::MatrixInterpolator(const std::map<unsigned int, Matrix<T, R, C>> &matrices) - * \brief Construct a matrix interpolator from a map of matrices - * \param matrices Map from which to construct the matrix interpolator - */ - -/** - * \fn MatrixInterpolator::reset() - * \brief Reset the matrix interpolator content to a single identity matrix - */ - -/** - * \fn int MatrixInterpolator<T, R, C>::readYaml() - * \brief Initialize an MatrixInterpolator instance from yaml - * \tparam T Type of data stored in the matrices - * \tparam R Number of rows of the matrices - * \tparam C Number of columns of the matrices - * \param[in] yaml The yaml object that contains the map of unsigned integers to matrices - * \param[in] key_name The name of the key in the yaml object - * \param[in] matrix_name The name of the matrix in the yaml object - * - * The yaml object is expected to be a list of maps. Each map has two or more - * pairs: one of \a key_name to the key value (usually color temperature), and - * one or more of \a matrix_name to the matrix. This is a bit difficult to - * explain, so here is an example (in python, as it is easier to parse than - * yaml): - * [ - * { - * 'ct': 2860, - * 'ccm': [ 2.12089, -0.52461, -0.59629, - * -0.85342, 2.80445, -0.95103, - * -0.26897, -1.14788, 2.41685 ], - * 'offsets': [ 0, 0, 0 ] - * }, - * - * { - * 'ct': 2960, - * 'ccm': [ 2.26962, -0.54174, -0.72789, - * -0.77008, 2.60271, -0.83262, - * -0.26036, -1.51254, 2.77289 ], - * 'offsets': [ 0, 0, 0 ] - * }, - * - * { - * 'ct': 3603, - * 'ccm': [ 2.18644, -0.66148, -0.52496, - * -0.77828, 2.69474, -0.91645, - * -0.25239, -0.83059, 2.08298 ], - * 'offsets': [ 0, 0, 0 ] - * }, - * ] - * - * In this case, \a key_name would be 'ct', and \a matrix_name can be either - * 'ccm' or 'offsets'. This way multiple matrix interpolators can be defined in - * one set of color temperature ranges in the tuning file, and they can be - * retrieved separately with the \a matrix_name parameter. - * - * \return Zero on success, negative error code otherwise - */ - -/** - * \fn Matrix<T, R, C> MatrixInterpolator<T, R, C>::get(unsigned int key) - * \brief Retrieve a matrix from the list of matrices, interpolating if necessary - * \param[in] key The unsigned integer key of the matrix to retrieve - * \return The matrix corresponding to the color temperature - */ - -} /* namespace ipa */ - -} /* namespace libcamera */ diff --git a/src/ipa/libipa/matrix_interpolator.h b/src/ipa/libipa/matrix_interpolator.h deleted file mode 100644 index 087c4fd1..00000000 --- a/src/ipa/libipa/matrix_interpolator.h +++ /dev/null @@ -1,122 +0,0 @@ -/* SPDX-License-Identifier: LGPL-2.1-or-later */ -/* - * Copyright (C) 2024, Paul Elder <paul.elder@ideasonboard.com> - * - * Helper class for interpolating maps of matrices - */ - -#pragma once - -#include <algorithm> -#include <map> -#include <string> -#include <tuple> - -#include <libcamera/base/log.h> - -#include "libcamera/internal/yaml_parser.h" - -#include "matrix.h" - -namespace libcamera { - -LOG_DECLARE_CATEGORY(MatrixInterpolator) - -namespace ipa { - -#ifndef __DOXYGEN__ -template<typename T, unsigned int R, unsigned int C, - std::enable_if_t<std::is_arithmetic_v<T>> * = nullptr> -#else -template<typename T, unsigned int R, unsigned int C> -#endif /* __DOXYGEN__ */ -class MatrixInterpolator -{ -public: - MatrixInterpolator() - { - reset(); - } - - MatrixInterpolator(const std::map<unsigned int, Matrix<T, R, C>> &matrices) - { - for (const auto &pair : matrices) - matrices_[pair.first] = pair.second; - } - - ~MatrixInterpolator() {} - - void reset() - { - matrices_.clear(); - matrices_[0] = Matrix<T, R, C>::identity(); - } - - int readYaml(const libcamera::YamlObject &yaml, - const std::string &key_name, - const std::string &matrix_name) - { - matrices_.clear(); - - if (!yaml.isList()) { - LOG(MatrixInterpolator, Error) << "yaml object must be a list"; - return -EINVAL; - } - - for (const auto &value : yaml.asList()) { - unsigned int ct = std::stoul(value[key_name].get<std::string>("")); - std::optional<Matrix<T, R, C>> matrix = - value[matrix_name].get<Matrix<T, R, C>>(); - if (!matrix) { - LOG(MatrixInterpolator, Error) << "Failed to read matrix"; - return -EINVAL; - } - - matrices_[ct] = *matrix; - - LOG(MatrixInterpolator, Debug) - << "Read matrix '" << matrix_name << "' for key '" - << key_name << "' " << ct << ": " - << matrices_[ct].toString(); - } - - if (matrices_.size() < 1) { - LOG(MatrixInterpolator, Error) << "Need at least one matrix"; - return -EINVAL; - } - - return 0; - } - - Matrix<T, R, C> get(unsigned int ct) - { - ASSERT(matrices_.size() > 0); - - if (matrices_.size() == 1 || - ct <= matrices_.begin()->first) - return matrices_.begin()->second; - - if (ct >= matrices_.rbegin()->first) - return matrices_.rbegin()->second; - - if (matrices_.find(ct) != matrices_.end()) - return matrices_[ct]; - - /* The above four guarantee that this will succeed */ - auto iter = matrices_.upper_bound(ct); - unsigned int ctUpper = iter->first; - unsigned int ctLower = (--iter)->first; - - double lambda = (ct - ctLower) / static_cast<double>(ctUpper - ctLower); - Matrix<T, R, C> ret = - lambda * matrices_[ctUpper] + (1.0 - lambda) * matrices_[ctLower]; - return ret; - } - -private: - std::map<unsigned int, Matrix<T, R, C>> matrices_; -}; - -} /* namespace ipa */ - -} /* namespace libcamera */ diff --git a/src/ipa/libipa/meson.build b/src/ipa/libipa/meson.build index eff8ce26..660be940 100644 --- a/src/ipa/libipa/meson.build +++ b/src/ipa/libipa/meson.build @@ -3,29 +3,39 @@ libipa_headers = files([ 'agc_mean_luminance.h', 'algorithm.h', + 'awb_bayes.h', + 'awb_grey.h', + 'awb.h', 'camera_sensor_helper.h', + 'colours.h', 'exposure_mode_helper.h', 'fc_queue.h', + 'fixedpoint.h', 'histogram.h', - 'matrix.h', - 'matrix_interpolator.h', + 'interpolator.h', + 'lsc_polynomial.h', + 'lux.h', 'module.h', 'pwl.h', - 'vector.h', ]) libipa_sources = files([ 'agc_mean_luminance.cpp', 'algorithm.cpp', + 'awb_bayes.cpp', + 'awb_grey.cpp', + 'awb.cpp', 'camera_sensor_helper.cpp', + 'colours.cpp', 'exposure_mode_helper.cpp', 'fc_queue.cpp', + 'fixedpoint.cpp', 'histogram.cpp', - 'matrix.cpp', - 'matrix_interpolator.cpp', + 'interpolator.cpp', + 'lsc_polynomial.cpp', + 'lux.cpp', 'module.cpp', 'pwl.cpp', - 'vector.cpp', ]) libipa_includes = include_directories('..') diff --git a/src/ipa/libipa/pwl.cpp b/src/ipa/libipa/pwl.cpp index 9b213754..3fa005ba 100644 --- a/src/ipa/libipa/pwl.cpp +++ b/src/ipa/libipa/pwl.cpp @@ -8,10 +8,8 @@ #include "pwl.h" -#include <assert.h> #include <cmath> #include <sstream> -#include <stdexcept> /** * \file pwl.h @@ -162,6 +160,11 @@ void Pwl::prepend(double x, double y, const double eps) */ /** + * \fn Pwl::clear() + * \brief Clear the piecewise linear function + */ + +/** * \fn Pwl::size() const * \brief Retrieve the number of points in the piecewise linear function * \return The number of points in the piecewise linear function diff --git a/src/ipa/libipa/pwl.h b/src/ipa/libipa/pwl.h index b6f93494..c1496c30 100644 --- a/src/ipa/libipa/pwl.h +++ b/src/ipa/libipa/pwl.h @@ -7,15 +7,12 @@ #pragma once #include <algorithm> -#include <cmath> #include <functional> #include <string> #include <utility> #include <vector> -#include "libcamera/internal/yaml_parser.h" - -#include "vector.h" +#include "libcamera/internal/vector.h" namespace libcamera { @@ -52,6 +49,7 @@ public: void append(double x, double y, double eps = 1e-6); bool empty() const { return points_.empty(); } + void clear() { points_.clear(); } size_t size() const { return points_.size(); } Interval domain() const; diff --git a/src/ipa/libipa/vector.cpp b/src/ipa/libipa/vector.cpp deleted file mode 100644 index bd00b019..00000000 --- a/src/ipa/libipa/vector.cpp +++ /dev/null @@ -1,168 +0,0 @@ -/* SPDX-License-Identifier: LGPL-2.1-or-later */ -/* - * Copyright (C) 2024, Paul Elder <paul.elder@ideasonboard.com> - * - * Vector and related operations - */ - -#include "vector.h" - -#include <libcamera/base/log.h> - -/** - * \file vector.h - * \brief Vector class - */ - -namespace libcamera { - -LOG_DEFINE_CATEGORY(Vector) - -namespace ipa { - -/** - * \class Vector - * \brief Vector class - * \tparam T Type of numerical values to be stored in the vector - * \tparam Rows Number of dimension of the vector (= number of elements) - */ - -/** - * \fn Vector::Vector() - * \brief Construct a zero vector - */ - -/** - * \fn Vector::Vector(const std::array<T, Rows> &data) - * \brief Construct vector from supplied data - * \param data Data from which to construct a vector - * - * The size of \a data must be equal to the dimension size Rows of the vector. - */ - -/** - * \fn T Vector::operator[](size_t i) const - * \brief Index to an element in the vector - * \param i Index of element to retrieve - * \return Element at index \a i from the vector - */ - -/** - * \fn T &Vector::operator[](size_t i) - * \copydoc Vector::operator[](size_t i) const - */ - -/** - * \fn Vector::x() - * \brief Convenience function to access the first element of the vector - * \return The first element of the vector - */ - -/** - * \fn Vector::y() - * \brief Convenience function to access the second element of the vector - * \return The second element of the vector - */ - -/** - * \fn Vector::z() - * \brief Convenience function to access the third element of the vector - * \return The third element of the vector - */ - -/** - * \fn Vector::operator-() const - * \brief Negate a Vector by negating both all of its coordinates - * \return The negated vector - */ - -/** - * \fn Vector::operator-(Vector const &other) const - * \brief Subtract one vector from another - * \param[in] other The other vector - * \return The difference of \a other from this vector - */ - -/** - * \fn Vector::operator+() - * \brief Add two vectors together - * \param[in] other The other vector - * \return The sum of the two vectors - */ - -/** - * \fn Vector::operator*(const Vector<T, Rows> &other) const - * \brief Compute the dot product - * \param[in] other The other vector - * \return The dot product of the two vectors - */ - -/** - * \fn Vector::operator*(T factor) const - * \brief Multiply the vector by a scalar - * \param[in] factor The factor - * \return The vector multiplied by \a factor - */ - -/** - * \fn Vector::operator/() - * \brief Divide the vector by a scalar - * \param[in] factor The factor - * \return The vector divided by \a factor - */ - -/** - * \fn Vector::length2() - * \brief Get the squared length of the vector - * \return The squared length of the vector - */ - -/** - * \fn Vector::length() - * \brief Get the length of the vector - * \return The length of the vector - */ - -/** - * \fn Vector<T, Rows> operator*(const Matrix<T, Rows, Cols> &m, const Vector<T, Cols> &v) - * \brief Multiply a matrix by a vector - * \tparam T Numerical type of the contents of the matrix and vector - * \tparam Rows The number of rows in the matrix - * \tparam Cols The number of columns in the matrix (= rows in the vector) - * \param m The matrix - * \param v The vector - * \return Product of matrix \a m and vector \a v - */ - -/** - * \fn bool operator==(const Vector<T, Rows> &lhs, const Vector<T, Rows> &rhs) - * \brief Compare vectors for equality - * \return True if the two vectors are equal, false otherwise - */ - -/** - * \fn bool operator!=(const Vector<T, Rows> &lhs, const Vector<T, Rows> &rhs) - * \brief Compare vectors for inequality - * \return True if the two vectors are not equal, false otherwise - */ - -#ifndef __DOXYGEN__ -bool vectorValidateYaml(const YamlObject &obj, unsigned int size) -{ - if (!obj.isList()) - return false; - - if (obj.size() != size) { - LOG(Vector, Error) - << "Wrong number of values in YAML vector: expected " - << size << ", got " << obj.size(); - return false; - } - - return true; -} -#endif /* __DOXYGEN__ */ - -} /* namespace ipa */ - -} /* namespace libcamera */ diff --git a/src/ipa/libipa/vector.h b/src/ipa/libipa/vector.h deleted file mode 100644 index 556e0967..00000000 --- a/src/ipa/libipa/vector.h +++ /dev/null @@ -1,219 +0,0 @@ -/* SPDX-License-Identifier: LGPL-2.1-or-later */ -/* - * Copyright (C) 2024, Paul Elder <paul.elder@ideasonboard.com> - * - * Vector and related operations - */ -#pragma once - -#include <algorithm> -#include <array> -#include <cmath> -#include <sstream> - -#include <libcamera/base/log.h> -#include <libcamera/base/span.h> - -#include "libcamera/internal/yaml_parser.h" - -#include "matrix.h" - -namespace libcamera { - -LOG_DECLARE_CATEGORY(Vector) - -namespace ipa { - -#ifndef __DOXYGEN__ -template<typename T, unsigned int Rows, - std::enable_if_t<std::is_arithmetic_v<T>> * = nullptr> -#else -template<typename T, unsigned int Rows> -#endif /* __DOXYGEN__ */ -class Vector -{ -public: - constexpr Vector() = default; - - constexpr Vector(const std::array<T, Rows> &data) - { - for (unsigned int i = 0; i < Rows; i++) - data_[i] = data[i]; - } - - const T &operator[](size_t i) const - { - ASSERT(i < data_.size()); - return data_[i]; - } - - T &operator[](size_t i) - { - ASSERT(i < data_.size()); - return data_[i]; - } - -#ifndef __DOXYGEN__ - template<bool Dependent = false, typename = std::enable_if_t<Dependent || Rows >= 1>> -#endif /* __DOXYGEN__ */ - constexpr T x() const - { - return data_[0]; - } - -#ifndef __DOXYGEN__ - template<bool Dependent = false, typename = std::enable_if_t<Dependent || Rows >= 2>> -#endif /* __DOXYGEN__ */ - constexpr T y() const - { - return data_[1]; - } - -#ifndef __DOXYGEN__ - template<bool Dependent = false, typename = std::enable_if_t<Dependent || Rows >= 3>> -#endif /* __DOXYGEN__ */ - constexpr T z() const - { - return data_[2]; - } - - constexpr Vector<T, Rows> operator-() const - { - Vector<T, Rows> ret; - for (unsigned int i = 0; i < Rows; i++) - ret[i] = -data_[i]; - return ret; - } - - constexpr Vector<T, Rows> operator-(const Vector<T, Rows> &other) const - { - Vector<T, Rows> ret; - for (unsigned int i = 0; i < Rows; i++) - ret[i] = data_[i] - other[i]; - return ret; - } - - constexpr Vector<T, Rows> operator+(const Vector<T, Rows> &other) const - { - Vector<T, Rows> ret; - for (unsigned int i = 0; i < Rows; i++) - ret[i] = data_[i] + other[i]; - return ret; - } - - constexpr T operator*(const Vector<T, Rows> &other) const - { - T ret = 0; - for (unsigned int i = 0; i < Rows; i++) - ret += data_[i] * other[i]; - return ret; - } - - constexpr Vector<T, Rows> operator*(T factor) const - { - Vector<T, Rows> ret; - for (unsigned int i = 0; i < Rows; i++) - ret[i] = data_[i] * factor; - return ret; - } - - constexpr Vector<T, Rows> operator/(T factor) const - { - Vector<T, Rows> ret; - for (unsigned int i = 0; i < Rows; i++) - ret[i] = data_[i] / factor; - return ret; - } - - constexpr double length2() const - { - double ret = 0; - for (unsigned int i = 0; i < Rows; i++) - ret += data_[i] * data_[i]; - return ret; - } - - constexpr double length() const - { - return std::sqrt(length2()); - } - -private: - std::array<T, Rows> data_; -}; - -template<typename T, unsigned int Rows, unsigned int Cols> -Vector<T, Rows> operator*(const Matrix<T, Rows, Cols> &m, const Vector<T, Cols> &v) -{ - Vector<T, Rows> result; - - for (unsigned int i = 0; i < Rows; i++) { - T sum = 0; - for (unsigned int j = 0; j < Cols; j++) - sum += m[i][j] * v[j]; - result[i] = sum; - } - - return result; -} - -template<typename T, unsigned int Rows> -bool operator==(const Vector<T, Rows> &lhs, const Vector<T, Rows> &rhs) -{ - for (unsigned int i = 0; i < Rows; i++) { - if (lhs[i] != rhs[i]) - return false; - } - - return true; -} - -template<typename T, unsigned int Rows> -bool operator!=(const Vector<T, Rows> &lhs, const Vector<T, Rows> &rhs) -{ - return !(lhs == rhs); -} - -#ifndef __DOXYGEN__ -bool vectorValidateYaml(const YamlObject &obj, unsigned int size); -#endif /* __DOXYGEN__ */ - -} /* namespace ipa */ - -#ifndef __DOXYGEN__ -template<typename T, unsigned int Rows> -std::ostream &operator<<(std::ostream &out, const ipa::Vector<T, Rows> &v) -{ - out << "Vector { "; - for (unsigned int i = 0; i < Rows; i++) { - out << v[i]; - out << ((i + 1 < Rows) ? ", " : " "); - } - out << " }"; - - return out; -} - -template<typename T, unsigned int Rows> -struct YamlObject::Getter<ipa::Vector<T, Rows>> { - std::optional<ipa::Vector<T, Rows>> get(const YamlObject &obj) const - { - if (!ipa::vectorValidateYaml(obj, Rows)) - return std::nullopt; - - ipa::Vector<T, Rows> vector; - - unsigned int i = 0; - for (const YamlObject &entry : obj.asList()) { - const auto value = entry.get<T>(); - if (!value) - return std::nullopt; - vector[i++] = *value; - } - - return vector; - } -}; -#endif /* __DOXYGEN__ */ - -} /* namespace libcamera */ diff --git a/src/ipa/mali-c55/algorithms/agc.cpp b/src/ipa/mali-c55/algorithms/agc.cpp new file mode 100644 index 00000000..70667db3 --- /dev/null +++ b/src/ipa/mali-c55/algorithms/agc.cpp @@ -0,0 +1,410 @@ +/* SPDX-License-Identifier: LGPL-2.1-or-later */ +/* + * Copyright (C) 2024, Ideas On Board Oy + * + * agc.cpp - AGC/AEC mean-based control algorithm + */ + +#include "agc.h" + +#include <cmath> + +#include <libcamera/base/log.h> +#include <libcamera/base/utils.h> + +#include <libcamera/control_ids.h> +#include <libcamera/property_ids.h> + +#include "libipa/colours.h" +#include "libipa/fixedpoint.h" + +namespace libcamera { + +using namespace std::literals::chrono_literals; + +namespace ipa::mali_c55::algorithms { + +LOG_DEFINE_CATEGORY(MaliC55Agc) + +/* + * Number of histogram bins. This is only true for the specific configuration we + * set to the ISP; 4 separate histograms of 256 bins each. If that configuration + * ever changes then this constant will need updating. + */ +static constexpr unsigned int kNumHistogramBins = 256; + +/* + * The Mali-C55 ISP has a digital gain block which allows setting gain in Q5.8 + * format, a range of 0.0 to (very nearly) 32.0. We clamp from 1.0 to the actual + * max value which is 8191 * 2^-8. + */ +static constexpr double kMinDigitalGain = 1.0; +static constexpr double kMaxDigitalGain = 31.99609375; + +uint32_t AgcStatistics::decodeBinValue(uint16_t binVal) +{ + int exponent = (binVal & 0xf000) >> 12; + int mantissa = binVal & 0xfff; + + if (!exponent) + return mantissa * 2; + else + return (mantissa + 4096) * std::pow(2, exponent); +} + +/* + * We configure the ISP to give us 4 histograms of 256 bins each, with + * a single histogram per colour channel (R/Gr/Gb/B). The memory space + * containing the data is a single block containing all 4 histograms + * with the position of each colour's histogram within it dependent on + * the bayer pattern of the data input to the ISP. + * + * NOTE: The validity of this function depends on the parameters we have + * configured. With different skip/offset x, y values not all of the + * colour channels would be populated, and they may not be in the same + * planes as calculated here. + */ +int AgcStatistics::setBayerOrderIndices(BayerFormat::Order bayerOrder) +{ + switch (bayerOrder) { + case BayerFormat::Order::RGGB: + rIndex_ = 0; + grIndex_ = 1; + gbIndex_ = 2; + bIndex_ = 3; + break; + case BayerFormat::Order::GRBG: + grIndex_ = 0; + rIndex_ = 1; + bIndex_ = 2; + gbIndex_ = 3; + break; + case BayerFormat::Order::GBRG: + gbIndex_ = 0; + bIndex_ = 1; + rIndex_ = 2; + grIndex_ = 3; + break; + case BayerFormat::Order::BGGR: + bIndex_ = 0; + gbIndex_ = 1; + grIndex_ = 2; + rIndex_ = 3; + break; + default: + LOG(MaliC55Agc, Error) + << "Invalid bayer format " << bayerOrder; + return -EINVAL; + } + + return 0; +} + +void AgcStatistics::parseStatistics(const mali_c55_stats_buffer *stats) +{ + uint32_t r[256], g[256], b[256], y[256]; + + /* + * We need to decode the bin values for each histogram from their 16-bit + * compressed values to a 32-bit value. We also take the average of the + * Gr/Gb values into a single green histogram. + */ + for (unsigned int i = 0; i < 256; i++) { + r[i] = decodeBinValue(stats->ae_1024bin_hist.bins[i + (256 * rIndex_)]); + g[i] = (decodeBinValue(stats->ae_1024bin_hist.bins[i + (256 * grIndex_)]) + + decodeBinValue(stats->ae_1024bin_hist.bins[i + (256 * gbIndex_)])) / 2; + b[i] = decodeBinValue(stats->ae_1024bin_hist.bins[i + (256 * bIndex_)]); + + y[i] = rec601LuminanceFromRGB({ { static_cast<double>(r[i]), + static_cast<double>(g[i]), + static_cast<double>(b[i]) } }); + } + + rHist = Histogram(Span<uint32_t>(r, kNumHistogramBins)); + gHist = Histogram(Span<uint32_t>(g, kNumHistogramBins)); + bHist = Histogram(Span<uint32_t>(b, kNumHistogramBins)); + yHist = Histogram(Span<uint32_t>(y, kNumHistogramBins)); +} + +Agc::Agc() + : AgcMeanLuminance() +{ +} + +int Agc::init(IPAContext &context, const YamlObject &tuningData) +{ + int ret = parseTuningData(tuningData); + if (ret) + return ret; + + context.ctrlMap[&controls::AeEnable] = ControlInfo(false, true); + context.ctrlMap[&controls::DigitalGain] = ControlInfo( + static_cast<float>(kMinDigitalGain), + static_cast<float>(kMaxDigitalGain), + static_cast<float>(kMinDigitalGain) + ); + context.ctrlMap.merge(controls()); + + return 0; +} + +int Agc::configure(IPAContext &context, + [[maybe_unused]] const IPACameraSensorInfo &configInfo) +{ + int ret = statistics_.setBayerOrderIndices(context.configuration.sensor.bayerOrder); + if (ret) + return ret; + + /* + * Defaults; we use whatever the sensor's default exposure is and the + * minimum analogue gain. AEGC is _active_ by default. + */ + context.activeState.agc.autoEnabled = true; + context.activeState.agc.automatic.sensorGain = context.configuration.agc.minAnalogueGain; + context.activeState.agc.automatic.exposure = context.configuration.agc.defaultExposure; + context.activeState.agc.automatic.ispGain = kMinDigitalGain; + context.activeState.agc.manual.sensorGain = context.configuration.agc.minAnalogueGain; + context.activeState.agc.manual.exposure = context.configuration.agc.defaultExposure; + context.activeState.agc.manual.ispGain = kMinDigitalGain; + context.activeState.agc.constraintMode = constraintModes().begin()->first; + context.activeState.agc.exposureMode = exposureModeHelpers().begin()->first; + + /* \todo Run this again when FrameDurationLimits is passed in */ + setLimits(context.configuration.agc.minShutterSpeed, + context.configuration.agc.maxShutterSpeed, + context.configuration.agc.minAnalogueGain, + context.configuration.agc.maxAnalogueGain); + + resetFrameCount(); + + return 0; +} + +void Agc::queueRequest(IPAContext &context, const uint32_t frame, + [[maybe_unused]] IPAFrameContext &frameContext, + const ControlList &controls) +{ + auto &agc = context.activeState.agc; + + const auto &constraintMode = controls.get(controls::AeConstraintMode); + agc.constraintMode = constraintMode.value_or(agc.constraintMode); + + const auto &exposureMode = controls.get(controls::AeExposureMode); + agc.exposureMode = exposureMode.value_or(agc.exposureMode); + + const auto &agcEnable = controls.get(controls::AeEnable); + if (agcEnable && *agcEnable != agc.autoEnabled) { + agc.autoEnabled = *agcEnable; + + LOG(MaliC55Agc, Info) + << (agc.autoEnabled ? "Enabling" : "Disabling") + << " AGC"; + } + + /* + * If the automatic exposure and gain is enabled we have no further work + * to do here... + */ + if (agc.autoEnabled) + return; + + /* + * ...otherwise we need to look for exposure and gain controls and use + * those to set the activeState. + */ + const auto &exposure = controls.get(controls::ExposureTime); + if (exposure) { + agc.manual.exposure = *exposure * 1.0us / context.configuration.sensor.lineDuration; + + LOG(MaliC55Agc, Debug) + << "Exposure set to " << agc.manual.exposure + << " on request sequence " << frame; + } + + const auto &analogueGain = controls.get(controls::AnalogueGain); + if (analogueGain) { + agc.manual.sensorGain = *analogueGain; + + LOG(MaliC55Agc, Debug) + << "Analogue gain set to " << agc.manual.sensorGain + << " on request sequence " << frame; + } + + const auto &digitalGain = controls.get(controls::DigitalGain); + if (digitalGain) { + agc.manual.ispGain = *digitalGain; + + LOG(MaliC55Agc, Debug) + << "Digital gain set to " << agc.manual.ispGain + << " on request sequence " << frame; + } +} + +size_t Agc::fillGainParamBlock(IPAContext &context, IPAFrameContext &frameContext, + mali_c55_params_block block) +{ + IPAActiveState &activeState = context.activeState; + double gain; + + if (activeState.agc.autoEnabled) + gain = activeState.agc.automatic.ispGain; + else + gain = activeState.agc.manual.ispGain; + + block.header->type = MALI_C55_PARAM_BLOCK_DIGITAL_GAIN; + block.header->flags = MALI_C55_PARAM_BLOCK_FL_NONE; + block.header->size = sizeof(struct mali_c55_params_digital_gain); + + block.digital_gain->gain = floatingToFixedPoint<5, 8, uint16_t, double>(gain); + frameContext.agc.ispGain = gain; + + return block.header->size; +} + +size_t Agc::fillParamsBuffer(mali_c55_params_block block, + enum mali_c55_param_block_type type) +{ + block.header->type = type; + block.header->flags = MALI_C55_PARAM_BLOCK_FL_NONE; + block.header->size = sizeof(struct mali_c55_params_aexp_hist); + + /* Collect every 3rd pixel horizontally */ + block.aexp_hist->skip_x = 1; + /* Start from first column */ + block.aexp_hist->offset_x = 0; + /* Collect every pixel vertically */ + block.aexp_hist->skip_y = 0; + /* Start from the first row */ + block.aexp_hist->offset_y = 0; + /* 1x scaling (i.e. none) */ + block.aexp_hist->scale_bottom = 0; + block.aexp_hist->scale_top = 0; + /* Collect all Bayer planes into 4 separate histograms */ + block.aexp_hist->plane_mode = 1; + /* Tap the data immediately after the digital gain block */ + block.aexp_hist->tap_point = MALI_C55_AEXP_HIST_TAP_FS; + + return block.header->size; +} + +size_t Agc::fillWeightsArrayBuffer(mali_c55_params_block block, + enum mali_c55_param_block_type type) +{ + block.header->type = type; + block.header->flags = MALI_C55_PARAM_BLOCK_FL_NONE; + block.header->size = sizeof(struct mali_c55_params_aexp_weights); + + /* We use every zone - a 15x15 grid */ + block.aexp_weights->nodes_used_horiz = 15; + block.aexp_weights->nodes_used_vert = 15; + + /* + * We uniformly weight the zones to 1 - this results in the collected + * histograms containing a true pixel count, which we can then use to + * approximate colour channel averages for the image. + */ + Span<uint8_t> weights{ + block.aexp_weights->zone_weights, + MALI_C55_MAX_ZONES + }; + std::fill(weights.begin(), weights.end(), 1); + + return block.header->size; +} + +void Agc::prepare(IPAContext &context, const uint32_t frame, + IPAFrameContext &frameContext, mali_c55_params_buffer *params) +{ + mali_c55_params_block block; + + block.data = ¶ms->data[params->total_size]; + params->total_size += fillGainParamBlock(context, frameContext, block); + + if (frame > 0) + return; + + block.data = ¶ms->data[params->total_size]; + params->total_size += fillParamsBuffer(block, + MALI_C55_PARAM_BLOCK_AEXP_HIST); + + block.data = ¶ms->data[params->total_size]; + params->total_size += fillWeightsArrayBuffer(block, + MALI_C55_PARAM_BLOCK_AEXP_HIST_WEIGHTS); + + block.data = ¶ms->data[params->total_size]; + params->total_size += fillParamsBuffer(block, + MALI_C55_PARAM_BLOCK_AEXP_IHIST); + + block.data = ¶ms->data[params->total_size]; + params->total_size += fillWeightsArrayBuffer(block, + MALI_C55_PARAM_BLOCK_AEXP_IHIST_WEIGHTS); +} + +double Agc::estimateLuminance(const double gain) const +{ + double rAvg = statistics_.rHist.interQuantileMean(0, 1) * gain; + double gAvg = statistics_.gHist.interQuantileMean(0, 1) * gain; + double bAvg = statistics_.bHist.interQuantileMean(0, 1) * gain; + double yAvg = rec601LuminanceFromRGB({ { rAvg, gAvg, bAvg } }); + + return yAvg / kNumHistogramBins; +} + +void Agc::process(IPAContext &context, + [[maybe_unused]] const uint32_t frame, + IPAFrameContext &frameContext, + const mali_c55_stats_buffer *stats, + [[maybe_unused]] ControlList &metadata) +{ + IPASessionConfiguration &configuration = context.configuration; + IPAActiveState &activeState = context.activeState; + + if (!stats) { + LOG(MaliC55Agc, Error) << "No statistics buffer passed to Agc"; + return; + } + + statistics_.parseStatistics(stats); + context.activeState.agc.temperatureK = estimateCCT({ { statistics_.rHist.interQuantileMean(0, 1), + statistics_.gHist.interQuantileMean(0, 1), + statistics_.bHist.interQuantileMean(0, 1) } }); + + /* + * The Agc algorithm needs to know the effective exposure value that was + * applied to the sensor when the statistics were collected. + */ + uint32_t exposure = frameContext.agc.exposure; + double analogueGain = frameContext.agc.sensorGain; + double digitalGain = frameContext.agc.ispGain; + double totalGain = analogueGain * digitalGain; + utils::Duration currentShutter = exposure * configuration.sensor.lineDuration; + utils::Duration effectiveExposureValue = currentShutter * totalGain; + + utils::Duration shutterTime; + double aGain, dGain; + std::tie(shutterTime, aGain, dGain) = + calculateNewEv(activeState.agc.constraintMode, + activeState.agc.exposureMode, statistics_.yHist, + effectiveExposureValue); + + dGain = std::clamp(dGain, kMinDigitalGain, kMaxDigitalGain); + + LOG(MaliC55Agc, Debug) + << "Divided up shutter, analogue gain and digital gain are " + << shutterTime << ", " << aGain << " and " << dGain; + + activeState.agc.automatic.exposure = shutterTime / configuration.sensor.lineDuration; + activeState.agc.automatic.sensorGain = aGain; + activeState.agc.automatic.ispGain = dGain; + + metadata.set(controls::ExposureTime, currentShutter.get<std::micro>()); + metadata.set(controls::AnalogueGain, frameContext.agc.sensorGain); + metadata.set(controls::DigitalGain, frameContext.agc.ispGain); + metadata.set(controls::ColourTemperature, context.activeState.agc.temperatureK); +} + +REGISTER_IPA_ALGORITHM(Agc, "Agc") + +} /* namespace ipa::mali_c55::algorithms */ + +} /* namespace libcamera */ diff --git a/src/ipa/mali-c55/algorithms/agc.h b/src/ipa/mali-c55/algorithms/agc.h new file mode 100644 index 00000000..c5c574e5 --- /dev/null +++ b/src/ipa/mali-c55/algorithms/agc.h @@ -0,0 +1,81 @@ +/* SPDX-License-Identifier: LGPL-2.1-or-later */ +/* + * Copyright (C) 2023, Ideas on Board Oy + * + * agc.h - Mali C55 AGC/AEC mean-based control algorithm + */ + +#pragma once + +#include <libcamera/base/utils.h> + +#include "libcamera/internal/bayer_format.h" + +#include "libipa/agc_mean_luminance.h" +#include "libipa/histogram.h" + +#include "algorithm.h" +#include "ipa_context.h" + +namespace libcamera { + +namespace ipa::mali_c55::algorithms { + +class AgcStatistics +{ +public: + AgcStatistics() + { + } + + int setBayerOrderIndices(BayerFormat::Order bayerOrder); + uint32_t decodeBinValue(uint16_t binVal); + void parseStatistics(const mali_c55_stats_buffer *stats); + + Histogram rHist; + Histogram gHist; + Histogram bHist; + Histogram yHist; +private: + unsigned int rIndex_; + unsigned int grIndex_; + unsigned int gbIndex_; + unsigned int bIndex_; +}; + +class Agc : public Algorithm, public AgcMeanLuminance +{ +public: + Agc(); + ~Agc() = default; + + int init(IPAContext &context, const YamlObject &tuningData) override; + int configure(IPAContext &context, + const IPACameraSensorInfo &configInfo) override; + void queueRequest(IPAContext &context, const uint32_t frame, + IPAFrameContext &frameContext, + const ControlList &controls) override; + void prepare(IPAContext &context, const uint32_t frame, + IPAFrameContext &frameContext, + mali_c55_params_buffer *params) override; + void process(IPAContext &context, const uint32_t frame, + IPAFrameContext &frameContext, + const mali_c55_stats_buffer *stats, + ControlList &metadata) override; + +private: + double estimateLuminance(const double gain) const override; + size_t fillGainParamBlock(IPAContext &context, + IPAFrameContext &frameContext, + mali_c55_params_block block); + size_t fillParamsBuffer(mali_c55_params_block block, + enum mali_c55_param_block_type type); + size_t fillWeightsArrayBuffer(mali_c55_params_block block, + enum mali_c55_param_block_type type); + + AgcStatistics statistics_; +}; + +} /* namespace ipa::mali_c55::algorithms */ + +} /* namespace libcamera */ diff --git a/src/ipa/mali-c55/algorithms/algorithm.h b/src/ipa/mali-c55/algorithms/algorithm.h new file mode 100644 index 00000000..36a3bff0 --- /dev/null +++ b/src/ipa/mali-c55/algorithms/algorithm.h @@ -0,0 +1,39 @@ +/* SPDX-License-Identifier: LGPL-2.1-or-later */ +/* + * Copyright (C) 2024, Ideas On Board + * + * algorithm.h - Mali-C55 control algorithm interface + */ + +#pragma once + +#include <linux/mali-c55-config.h> + +#include <libipa/algorithm.h> + +#include "module.h" + +namespace libcamera { + +namespace ipa::mali_c55 { + +class Algorithm : public libcamera::ipa::Algorithm<Module> +{ +}; + +union mali_c55_params_block { + struct mali_c55_params_block_header *header; + struct mali_c55_params_sensor_off_preshading *sensor_offs; + struct mali_c55_params_aexp_hist *aexp_hist; + struct mali_c55_params_aexp_weights *aexp_weights; + struct mali_c55_params_digital_gain *digital_gain; + struct mali_c55_params_awb_gains *awb_gains; + struct mali_c55_params_awb_config *awb_config; + struct mali_c55_params_mesh_shading_config *shading_config; + struct mali_c55_params_mesh_shading_selection *shading_selection; + __u8 *data; +}; + +} /* namespace ipa::mali_c55 */ + +} /* namespace libcamera */ diff --git a/src/ipa/mali-c55/algorithms/awb.cpp b/src/ipa/mali-c55/algorithms/awb.cpp new file mode 100644 index 00000000..050b191b --- /dev/null +++ b/src/ipa/mali-c55/algorithms/awb.cpp @@ -0,0 +1,230 @@ +/* SPDX-License-Identifier: LGPL-2.1-or-later */ +/* + * Copyright (C) 2024, Ideas On Board Oy + * + * awb.cpp - Mali C55 grey world auto white balance algorithm + */ + +#include "awb.h" + +#include <cmath> + +#include <libcamera/base/log.h> +#include <libcamera/base/utils.h> + +#include <libcamera/control_ids.h> + +#include "libipa/fixedpoint.h" + +namespace libcamera { + +namespace ipa::mali_c55::algorithms { + +LOG_DEFINE_CATEGORY(MaliC55Awb) + +/* Number of frames at which we should run AWB at full speed */ +static constexpr uint32_t kNumStartupFrames = 4; + +Awb::Awb() +{ +} + +int Awb::configure([[maybe_unused]] IPAContext &context, + [[maybe_unused]] const IPACameraSensorInfo &configInfo) +{ + /* + * Initially we have no idea what the colour balance will be like, so + * for the first frame we will make no assumptions and leave the R/B + * channels unmodified. + */ + context.activeState.awb.rGain = 1.0; + context.activeState.awb.bGain = 1.0; + + return 0; +} + +size_t Awb::fillGainsParamBlock(mali_c55_params_block block, IPAContext &context, + IPAFrameContext &frameContext) +{ + block.header->type = MALI_C55_PARAM_BLOCK_AWB_GAINS; + block.header->flags = MALI_C55_PARAM_BLOCK_FL_NONE; + block.header->size = sizeof(struct mali_c55_params_awb_gains); + + double rGain = context.activeState.awb.rGain; + double bGain = context.activeState.awb.bGain; + + /* + * The gains here map as follows: + * gain00 = R + * gain01 = Gr + * gain10 = Gb + * gain11 = B + * + * This holds true regardless of the bayer order of the input data, as + * the mapping is done internally in the ISP. + */ + block.awb_gains->gain00 = floatingToFixedPoint<4, 8, uint16_t, double>(rGain); + block.awb_gains->gain01 = floatingToFixedPoint<4, 8, uint16_t, double>(1.0); + block.awb_gains->gain10 = floatingToFixedPoint<4, 8, uint16_t, double>(1.0); + block.awb_gains->gain11 = floatingToFixedPoint<4, 8, uint16_t, double>(bGain); + + frameContext.awb.rGain = rGain; + frameContext.awb.bGain = bGain; + + return sizeof(struct mali_c55_params_awb_gains); +} + +size_t Awb::fillConfigParamBlock(mali_c55_params_block block) +{ + block.header->type = MALI_C55_PARAM_BLOCK_AWB_CONFIG; + block.header->flags = MALI_C55_PARAM_BLOCK_FL_NONE; + block.header->size = sizeof(struct mali_c55_params_awb_config); + + /* Tap the stats after the purple fringe block */ + block.awb_config->tap_point = MALI_C55_AWB_STATS_TAP_PF; + + /* Get R/G and B/G ratios as statistics */ + block.awb_config->stats_mode = MALI_C55_AWB_MODE_RGBG; + + /* Default white level */ + block.awb_config->white_level = 1023; + + /* Default black level */ + block.awb_config->black_level = 0; + + /* + * By default pixels are included who's colour ratios are bounded in a + * region (on a cr ratio x cb ratio graph) defined by four points: + * (0.25, 0.25) + * (0.25, 1.99609375) + * (1.99609375, 1.99609375) + * (1.99609375, 0.25) + * + * The ratios themselves are stored in Q4.8 format. + * + * \todo should these perhaps be tunable? + */ + block.awb_config->cr_max = 511; + block.awb_config->cr_min = 64; + block.awb_config->cb_max = 511; + block.awb_config->cb_min = 64; + + /* We use the full 15x15 zoning scheme */ + block.awb_config->nodes_used_horiz = 15; + block.awb_config->nodes_used_vert = 15; + + /* + * We set the trimming boundaries equivalent to the main boundaries. In + * other words; no trimming. + */ + block.awb_config->cr_high = 511; + block.awb_config->cr_low = 64; + block.awb_config->cb_high = 511; + block.awb_config->cb_low = 64; + + return sizeof(struct mali_c55_params_awb_config); +} + +void Awb::prepare(IPAContext &context, const uint32_t frame, + IPAFrameContext &frameContext, mali_c55_params_buffer *params) +{ + mali_c55_params_block block; + block.data = ¶ms->data[params->total_size]; + + params->total_size += fillGainsParamBlock(block, context, frameContext); + + if (frame > 0) + return; + + block.data = ¶ms->data[params->total_size]; + params->total_size += fillConfigParamBlock(block); +} + +void Awb::process(IPAContext &context, const uint32_t frame, + IPAFrameContext &frameContext, const mali_c55_stats_buffer *stats, + [[maybe_unused]] ControlList &metadata) +{ + const struct mali_c55_awb_average_ratios *awb_ratios = stats->awb_ratios; + + /* + * The ISP produces average R:G and B:G ratios for zones. We take the + * average of all the zones with data and simply invert them to provide + * gain figures that we can apply to approximate a grey world. + */ + unsigned int counted_zones = 0; + double rgSum = 0, bgSum = 0; + + for (unsigned int i = 0; i < 225; i++) { + if (!awb_ratios[i].num_pixels) + continue; + + /* + * The statistics are in Q4.8 format, so we convert to double + * here. + */ + rgSum += fixedToFloatingPoint<4, 8, double, uint16_t>(awb_ratios[i].avg_rg_gr); + bgSum += fixedToFloatingPoint<4, 8, double, uint16_t>(awb_ratios[i].avg_bg_br); + counted_zones++; + } + + /* + * Sometimes the first frame's statistics have no valid pixels, in which + * case we'll just assume a grey world until they say otherwise. + */ + double rgAvg, bgAvg; + if (!counted_zones) { + rgAvg = 1.0; + bgAvg = 1.0; + } else { + rgAvg = rgSum / counted_zones; + bgAvg = bgSum / counted_zones; + } + + /* + * The statistics are generated _after_ white balancing is performed in + * the ISP. To get the true ratio we therefore have to adjust the stats + * figure by the gains that were applied when the statistics for this + * frame were generated. + */ + double rRatio = rgAvg / frameContext.awb.rGain; + double bRatio = bgAvg / frameContext.awb.bGain; + + /* + * And then we can simply invert the ratio to find the gain we should + * apply. + */ + double rGain = 1 / rRatio; + double bGain = 1 / bRatio; + + /* + * Running at full speed, this algorithm results in oscillations in the + * colour balance. To remove those we dampen the speed at which it makes + * changes in gain, unless we're in the startup phase in which case we + * want to fix the miscolouring as quickly as possible. + */ + double speed = frame < kNumStartupFrames ? 1.0 : 0.2; + rGain = speed * rGain + context.activeState.awb.rGain * (1.0 - speed); + bGain = speed * bGain + context.activeState.awb.bGain * (1.0 - speed); + + context.activeState.awb.rGain = rGain; + context.activeState.awb.bGain = bGain; + + metadata.set(controls::ColourGains, { + static_cast<float>(frameContext.awb.rGain), + static_cast<float>(frameContext.awb.bGain), + }); + + LOG(MaliC55Awb, Debug) << "For frame number " << frame << ": " + << "Average R/G Ratio: " << rgAvg + << ", Average B/G Ratio: " << bgAvg + << "\nrGain applied to this frame: " << frameContext.awb.rGain + << ", bGain applied to this frame: " << frameContext.awb.bGain + << "\nrGain to apply: " << context.activeState.awb.rGain + << ", bGain to apply: " << context.activeState.awb.bGain; +} + +REGISTER_IPA_ALGORITHM(Awb, "Awb") + +} /* namespace ipa::mali_c55::algorithms */ + +} /* namespace libcamera */ diff --git a/src/ipa/mali-c55/algorithms/awb.h b/src/ipa/mali-c55/algorithms/awb.h new file mode 100644 index 00000000..800c2e83 --- /dev/null +++ b/src/ipa/mali-c55/algorithms/awb.h @@ -0,0 +1,40 @@ +/* SPDX-License-Identifier: LGPL-2.1-or-later */ +/* + * Copyright (C) 2024, Ideas on Board Oy + * + * awb.h - Mali C55 grey world auto white balance algorithm + */ + +#include "algorithm.h" +#include "ipa_context.h" + +namespace libcamera { + +namespace ipa::mali_c55::algorithms { + +class Awb : public Algorithm +{ +public: + Awb(); + ~Awb() = default; + + int configure(IPAContext &context, + const IPACameraSensorInfo &configInfo) override; + void prepare(IPAContext &context, const uint32_t frame, + IPAFrameContext &frameContext, + mali_c55_params_buffer *params) override; + void process(IPAContext &context, const uint32_t frame, + IPAFrameContext &frameContext, + const mali_c55_stats_buffer *stats, + ControlList &metadata) override; + +private: + size_t fillGainsParamBlock(mali_c55_params_block block, + IPAContext &context, + IPAFrameContext &frameContext); + size_t fillConfigParamBlock(mali_c55_params_block block); +}; + +} /* namespace ipa::mali_c55::algorithms */ + +} /* namespace libcamera */ diff --git a/src/ipa/mali-c55/algorithms/blc.cpp b/src/ipa/mali-c55/algorithms/blc.cpp new file mode 100644 index 00000000..2a54c86a --- /dev/null +++ b/src/ipa/mali-c55/algorithms/blc.cpp @@ -0,0 +1,140 @@ +/* SPDX-License-Identifier: LGPL-2.1-or-later */ +/* + * Copyright (C) 2024, Ideas On Board + * + * Mali-C55 sensor offset (black level) correction + */ + +#include "blc.h" + +#include <libcamera/base/log.h> +#include <libcamera/control_ids.h> + +#include "libcamera/internal/yaml_parser.h" + +/** + * \file blc.h + */ + +namespace libcamera { + +namespace ipa::mali_c55::algorithms { + +/** + * \class BlackLevelCorrection + * \brief MaliC55 Black Level Correction control + */ + +LOG_DEFINE_CATEGORY(MaliC55Blc) + +BlackLevelCorrection::BlackLevelCorrection() + : tuningParameters_(false) +{ +} + +/** + * \copydoc libcamera::ipa::Algorithm::init + */ +int BlackLevelCorrection::init([[maybe_unused]] IPAContext &context, + const YamlObject &tuningData) +{ + offset00 = tuningData["offset00"].get<uint32_t>(0); + offset01 = tuningData["offset01"].get<uint32_t>(0); + offset10 = tuningData["offset10"].get<uint32_t>(0); + offset11 = tuningData["offset11"].get<uint32_t>(0); + + if (offset00 > kMaxOffset || offset01 > kMaxOffset || + offset10 > kMaxOffset || offset11 > kMaxOffset) { + LOG(MaliC55Blc, Error) << "Invalid black level offsets"; + return -EINVAL; + } + + tuningParameters_ = true; + + LOG(MaliC55Blc, Debug) + << "Black levels: 00 " << offset00 << ", 01 " << offset01 + << ", 10 " << offset10 << ", 11 " << offset11; + + return 0; +} + +/** + * \copydoc libcamera::ipa::Algorithm::configure + */ +int BlackLevelCorrection::configure(IPAContext &context, + [[maybe_unused]] const IPACameraSensorInfo &configInfo) +{ + /* + * If no Black Levels were passed in through tuning data then we could + * use the value from the CameraSensorHelper if one is available. + */ + if (context.configuration.sensor.blackLevel && + !(offset00 + offset01 + offset10 + offset11)) { + offset00 = context.configuration.sensor.blackLevel; + offset01 = context.configuration.sensor.blackLevel; + offset10 = context.configuration.sensor.blackLevel; + offset11 = context.configuration.sensor.blackLevel; + } + + return 0; +} + +/** + * \copydoc libcamera::ipa::Algorithm::prepare + */ +void BlackLevelCorrection::prepare([[maybe_unused]] IPAContext &context, + const uint32_t frame, + [[maybe_unused]] IPAFrameContext &frameContext, + mali_c55_params_buffer *params) +{ + mali_c55_params_block block; + block.data = ¶ms->data[params->total_size]; + + if (frame > 0) + return; + + if (!tuningParameters_) + return; + + block.header->type = MALI_C55_PARAM_BLOCK_SENSOR_OFFS; + block.header->flags = MALI_C55_PARAM_BLOCK_FL_NONE; + block.header->size = sizeof(mali_c55_params_sensor_off_preshading); + + block.sensor_offs->chan00 = offset00; + block.sensor_offs->chan01 = offset01; + block.sensor_offs->chan10 = offset10; + block.sensor_offs->chan11 = offset11; + + params->total_size += block.header->size; +} + +void BlackLevelCorrection::process([[maybe_unused]] IPAContext &context, + [[maybe_unused]] const uint32_t frame, + [[maybe_unused]] IPAFrameContext &frameContext, + [[maybe_unused]] const mali_c55_stats_buffer *stats, + ControlList &metadata) +{ + /* + * Black Level Offsets in tuning data need to be 20-bit, whereas the + * metadata expects values from a 16-bit range. Right-shift to remove + * the 4 least significant bits. + * + * The black levels should be reported in the order R, Gr, Gb, B. We + * ignore that here given we're using matching values so far, but it + * would be safer to check the sensor's bayer order. + * + * \todo Account for bayer order. + */ + metadata.set(controls::SensorBlackLevels, { + static_cast<int32_t>(offset00 >> 4), + static_cast<int32_t>(offset01 >> 4), + static_cast<int32_t>(offset10 >> 4), + static_cast<int32_t>(offset11 >> 4), + }); +} + +REGISTER_IPA_ALGORITHM(BlackLevelCorrection, "BlackLevelCorrection") + +} /* namespace ipa::mali_c55::algorithms */ + +} /* namespace libcamera */ diff --git a/src/ipa/mali-c55/algorithms/blc.h b/src/ipa/mali-c55/algorithms/blc.h new file mode 100644 index 00000000..9696e8e9 --- /dev/null +++ b/src/ipa/mali-c55/algorithms/blc.h @@ -0,0 +1,42 @@ +/* SPDX-License-Identifier: LGPL-2.1-or-later */ +/* + * Copyright (C) 2024, Ideas On Board + * + * Mali-C55 sensor offset (black level) correction + */ + +#include "algorithm.h" + +namespace libcamera { + +namespace ipa::mali_c55::algorithms { + +class BlackLevelCorrection : public Algorithm +{ +public: + BlackLevelCorrection(); + ~BlackLevelCorrection() = default; + + int init(IPAContext &context, const YamlObject &tuningData) override; + int configure(IPAContext &context, + const IPACameraSensorInfo &configInfo) override; + void prepare(IPAContext &context, const uint32_t frame, + IPAFrameContext &frameContext, + mali_c55_params_buffer *params) override; + void process(IPAContext &context, const uint32_t frame, + IPAFrameContext &frameContext, + const mali_c55_stats_buffer *stats, + ControlList &metadata) override; + +private: + static constexpr uint32_t kMaxOffset = 0xfffff; + + bool tuningParameters_; + uint32_t offset00; + uint32_t offset01; + uint32_t offset10; + uint32_t offset11; +}; + +} /* namespace ipa::mali_c55::algorithms */ +} /* namespace libcamera */ diff --git a/src/ipa/mali-c55/algorithms/lsc.cpp b/src/ipa/mali-c55/algorithms/lsc.cpp new file mode 100644 index 00000000..c5afc04d --- /dev/null +++ b/src/ipa/mali-c55/algorithms/lsc.cpp @@ -0,0 +1,216 @@ +/* SPDX-License-Identifier: LGPL-2.1-or-later */ +/* + * Copyright (C) 2024, Ideas On Board Oy + * + * lsc.cpp - Mali-C55 Lens shading correction algorithm + */ + +#include "lsc.h" + +#include "libcamera/internal/yaml_parser.h" + +namespace libcamera { + +namespace ipa::mali_c55::algorithms { + +LOG_DEFINE_CATEGORY(MaliC55Lsc) + +int Lsc::init([[maybe_unused]] IPAContext &context, const YamlObject &tuningData) +{ + if (!tuningData.contains("meshScale")) { + LOG(MaliC55Lsc, Error) << "meshScale missing from tuningData"; + return -EINVAL; + } + + meshScale_ = tuningData["meshScale"].get<uint32_t>(0); + + const YamlObject &yamlSets = tuningData["sets"]; + if (!yamlSets.isList()) { + LOG(MaliC55Lsc, Error) << "LSC tables missing or invalid"; + return -EINVAL; + } + + size_t tableSize = 0; + const auto &sets = yamlSets.asList(); + for (const auto &yamlSet : sets) { + uint32_t ct = yamlSet["ct"].get<uint32_t>(0); + + if (!ct) { + LOG(MaliC55Lsc, Error) << "Invalid colour temperature"; + return -EINVAL; + } + + if (std::count(colourTemperatures_.begin(), + colourTemperatures_.end(), ct)) { + LOG(MaliC55Lsc, Error) + << "Multiple sets found for colour temperature"; + return -EINVAL; + } + + std::vector<uint8_t> rTable = + yamlSet["r"].getList<uint8_t>().value_or(std::vector<uint8_t>{}); + std::vector<uint8_t> gTable = + yamlSet["g"].getList<uint8_t>().value_or(std::vector<uint8_t>{}); + std::vector<uint8_t> bTable = + yamlSet["b"].getList<uint8_t>().value_or(std::vector<uint8_t>{}); + + /* + * Some validation to do; only 16x16 and 32x32 tables of + * coefficients are acceptable, and all tables across all of the + * sets must be the same size. The first time we encounter a + * table we check that it is an acceptable size and if so make + * sure all other tables are of equal size. + */ + if (!tableSize) { + if (rTable.size() != 256 && rTable.size() != 1024) { + LOG(MaliC55Lsc, Error) + << "Invalid table size for colour temperature " << ct; + return -EINVAL; + } + tableSize = rTable.size(); + } + + if (rTable.size() != tableSize || + gTable.size() != tableSize || + bTable.size() != tableSize) { + LOG(MaliC55Lsc, Error) + << "Invalid or mismatched table size for colour temperature " << ct; + return -EINVAL; + } + + if (colourTemperatures_.size() >= 3) { + LOG(MaliC55Lsc, Error) + << "A maximum of 3 colour temperatures are supported"; + return -EINVAL; + } + + for (unsigned int i = 0; i < tableSize; i++) { + mesh_[kRedOffset + i] |= + (rTable[i] << (colourTemperatures_.size() * 8)); + mesh_[kGreenOffset + i] |= + (gTable[i] << (colourTemperatures_.size() * 8)); + mesh_[kBlueOffset + i] |= + (bTable[i] << (colourTemperatures_.size() * 8)); + } + + colourTemperatures_.push_back(ct); + } + + /* + * The mesh has either 16x16 or 32x32 nodes, we tell the driver which it + * is based on the number of values in the tuning data's table. + */ + if (tableSize == 256) + meshSize_ = 15; + else + meshSize_ = 31; + + return 0; +} + +size_t Lsc::fillConfigParamsBlock(mali_c55_params_block block) const +{ + block.header->type = MALI_C55_PARAM_MESH_SHADING_CONFIG; + block.header->flags = MALI_C55_PARAM_BLOCK_FL_NONE; + block.header->size = sizeof(struct mali_c55_params_mesh_shading_config); + + block.shading_config->mesh_show = false; + block.shading_config->mesh_scale = meshScale_; + block.shading_config->mesh_page_r = 0; + block.shading_config->mesh_page_g = 1; + block.shading_config->mesh_page_b = 2; + block.shading_config->mesh_width = meshSize_; + block.shading_config->mesh_height = meshSize_; + + std::copy(mesh_.begin(), mesh_.end(), block.shading_config->mesh); + + return block.header->size; +} + +size_t Lsc::fillSelectionParamsBlock(mali_c55_params_block block, uint8_t bank, + uint8_t alpha) const +{ + block.header->type = MALI_C55_PARAM_MESH_SHADING_SELECTION; + block.header->flags = MALI_C55_PARAM_BLOCK_FL_NONE; + block.header->size = sizeof(struct mali_c55_params_mesh_shading_selection); + + block.shading_selection->mesh_alpha_bank_r = bank; + block.shading_selection->mesh_alpha_bank_g = bank; + block.shading_selection->mesh_alpha_bank_b = bank; + block.shading_selection->mesh_alpha_r = alpha; + block.shading_selection->mesh_alpha_g = alpha; + block.shading_selection->mesh_alpha_b = alpha; + block.shading_selection->mesh_strength = 0x1000; /* Otherwise known as 1.0 */ + + return block.header->size; +} + +std::tuple<uint8_t, uint8_t> Lsc::findBankAndAlpha(uint32_t ct) const +{ + unsigned int i; + + ct = std::clamp<uint32_t>(ct, colourTemperatures_.front(), + colourTemperatures_.back()); + + for (i = 0; i < colourTemperatures_.size() - 1; i++) { + if (ct >= colourTemperatures_[i] && + ct <= colourTemperatures_[i + 1]) + break; + } + + /* + * With the clamping, we're guaranteed an index into colourTemperatures_ + * that's <= colourTemperatures_.size() - 1. + */ + uint8_t alpha = (255 * (ct - colourTemperatures_[i])) / + (colourTemperatures_[i + 1] - colourTemperatures_[i]); + + return { i, alpha }; +} + +void Lsc::prepare(IPAContext &context, [[maybe_unused]] const uint32_t frame, + [[maybe_unused]] IPAFrameContext &frameContext, + mali_c55_params_buffer *params) +{ + /* + * For each frame we assess the colour temperature of the **last** frame + * and then select an appropriately blended table of coefficients based + * on that ct. As a bit of a shortcut, if we've only a single table the + * handling is somewhat simpler; if it's the first frame we just select + * that table and if we're past the first frame then we can just do + * nothing - the config will never change. + */ + uint32_t temperatureK = context.activeState.agc.temperatureK; + uint8_t bank, alpha; + + if (colourTemperatures_.size() == 1) { + if (frame > 0) + return; + + bank = 0; + alpha = 0; + } else { + std::tie(bank, alpha) = findBankAndAlpha(temperatureK); + } + + mali_c55_params_block block; + block.data = ¶ms->data[params->total_size]; + + params->total_size += fillSelectionParamsBlock(block, bank, alpha); + + if (frame > 0) + return; + + /* + * If this is the first frame, we need to load the parsed coefficient + * tables from tuning data to the ISP. + */ + block.data = ¶ms->data[params->total_size]; + params->total_size += fillConfigParamsBlock(block); +} + +REGISTER_IPA_ALGORITHM(Lsc, "Lsc") + +} /* namespace ipa::mali_c55::algorithms */ + +} /* namespace libcamera */ diff --git a/src/ipa/mali-c55/algorithms/lsc.h b/src/ipa/mali-c55/algorithms/lsc.h new file mode 100644 index 00000000..e613277a --- /dev/null +++ b/src/ipa/mali-c55/algorithms/lsc.h @@ -0,0 +1,45 @@ +/* SPDX-License-Identifier: LGPL-2.1-or-later */ +/* + * Copyright (C) 2024, Ideas On Board Oy + * + * lsc.h - Mali-C55 Lens shading correction algorithm + */ + +#include <map> +#include <tuple> + +#include "algorithm.h" + +namespace libcamera { + +namespace ipa::mali_c55::algorithms { + +class Lsc : public Algorithm +{ +public: + Lsc() = default; + ~Lsc() = default; + + int init(IPAContext &context, const YamlObject &tuningData) override; + void prepare(IPAContext &context, const uint32_t frame, + IPAFrameContext &frameContext, + mali_c55_params_buffer *params) override; +private: + static constexpr unsigned int kRedOffset = 0; + static constexpr unsigned int kGreenOffset = 1024; + static constexpr unsigned int kBlueOffset = 2048; + + size_t fillConfigParamsBlock(mali_c55_params_block block) const; + size_t fillSelectionParamsBlock(mali_c55_params_block block, + uint8_t bank, uint8_t alpha) const; + std::tuple<uint8_t, uint8_t> findBankAndAlpha(uint32_t ct) const; + + std::vector<uint32_t> mesh_ = std::vector<uint32_t>(3072); + std::vector<uint32_t> colourTemperatures_; + uint32_t meshScale_; + uint32_t meshSize_; +}; + +} /* namespace ipa::mali_c55::algorithms */ + +} /* namespace libcamera */ diff --git a/src/ipa/mali-c55/algorithms/meson.build b/src/ipa/mali-c55/algorithms/meson.build new file mode 100644 index 00000000..1665da07 --- /dev/null +++ b/src/ipa/mali-c55/algorithms/meson.build @@ -0,0 +1,8 @@ +# SPDX-License-Identifier: CC0-1.0 + +mali_c55_ipa_algorithms = files([ + 'agc.cpp', + 'awb.cpp', + 'blc.cpp', + 'lsc.cpp', +]) diff --git a/src/ipa/mali-c55/data/imx415.yaml b/src/ipa/mali-c55/data/imx415.yaml new file mode 100644 index 00000000..126b427a --- /dev/null +++ b/src/ipa/mali-c55/data/imx415.yaml @@ -0,0 +1,325 @@ +# SPDX-License-Identifier: CC0-1.0 +%YAML 1.1 +--- +version: 1 +algorithms: + - Agc: + - Awb: + - BlackLevelCorrection: + offset00: 51200 + offset01: 51200 + offset10: 51200 + offset11: 51200 + - Lsc: + meshScale: 4 # 1.0 - 2.0 Gain + sets: + - ct: 2500 + r: [ + 21, 20, 19, 17, 15, 14, 12, 11, 9, 9, 9, 9, 8, 8, 9, 9, 9, 9, 9, 9, 9, 9, 13, 13, 10, 10, 13, 16, 17, 18, 21, 22, + 21, 20, 18, 16, 14, 13, 12, 11, 10, 9, 9, 8, 8, 8, 8, 8, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 12, 15, 17, 18, 21, 21, + 20, 19, 17, 16, 14, 13, 12, 11, 10, 9, 8, 8, 8, 7, 7, 7, 8, 8, 8, 8, 8, 9, 9, 8, 8, 8, 11, 15, 17, 18, 21, 21, + 19, 19, 17, 15, 14, 13, 12, 11, 10, 8, 8, 7, 7, 7, 6, 6, 7, 7, 8, 8, 8, 8, 8, 7, 7, 8, 10, 14, 17, 18, 20, 22, + 19, 18, 17, 15, 14, 13, 11, 11, 9, 8, 8, 7, 7, 6, 5, 5, 5, 5, 6, 7, 8, 7, 7, 6, 7, 7, 10, 12, 16, 18, 20, 22, + 18, 18, 16, 15, 14, 12, 11, 10, 9, 8, 6, 6, 5, 5, 4, 4, 5, 5, 5, 5, 6, 6, 6, 6, 6, 7, 8, 12, 16, 18, 19, 20, + 18, 18, 16, 14, 13, 12, 11, 9, 9, 7, 6, 5, 5, 5, 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19, 18, 16, 14, 13, 11, 9, 8, 8, 8, 8, 8, 8, 9, 10, 12, 15, 18, 18, 18, 17, 16, 14, + 23, 24, 24, 23, 23, 22, 22, 21, 21, 20, 20, 19, 18, 15, 13, 11, 9, 8, 8, 8, 9, 9, 10, 11, 13, 16, 18, 18, 17, 17, 15, 14, + 24, 24, 24, 24, 24, 23, 22, 22, 22, 22, 20, 20, 19, 18, 15, 13, 10, 9, 9, 9, 9, 10, 11, 12, 15, 17, 18, 18, 17, 16, 15, 13, + ] +... diff --git a/src/ipa/mali-c55/data/meson.build b/src/ipa/mali-c55/data/meson.build new file mode 100644 index 00000000..8a5fdd36 --- /dev/null +++ b/src/ipa/mali-c55/data/meson.build @@ -0,0 +1,9 @@ +# SPDX-License-Identifier: CC0-1.0 + +conf_files = files([ + 'imx415.yaml', + 'uncalibrated.yaml' +]) + +install_data(conf_files, + install_dir : ipa_data_dir / 'mali-c55') diff --git a/src/ipa/mali-c55/data/uncalibrated.yaml b/src/ipa/mali-c55/data/uncalibrated.yaml new file mode 100644 index 00000000..6dcc0295 --- /dev/null +++ b/src/ipa/mali-c55/data/uncalibrated.yaml @@ -0,0 +1,7 @@ +# SPDX-License-Identifier: CC0-1.0 +%YAML 1.1 +--- +version: 1 +algorithms: + - Agc: +... diff --git a/src/ipa/mali-c55/ipa_context.cpp b/src/ipa/mali-c55/ipa_context.cpp new file mode 100644 index 00000000..99f76ecd --- /dev/null +++ b/src/ipa/mali-c55/ipa_context.cpp @@ -0,0 +1,101 @@ +/* SPDX-License-Identifier: LGPL-2.1-or-later */ +/* + * Copyright (C) 2024, Ideas On Board + * + * ipa_context.cpp - MaliC55 IPA Context + */ + +#include "ipa_context.h" + +/** + * \file ipa_context.h + * \brief Context and state information shared between the algorithms + */ + +namespace libcamera::ipa::mali_c55 { + +/** + * \struct IPASessionConfiguration + * \brief Session configuration for the IPA module + * + * The session configuration contains all IPA configuration parameters that + * remain constant during the capture session, from IPA module start to stop. + * It is typically set during the configure() operation of the IPA module, but + * may also be updated in the start() operation. + */ + +/** + * \struct IPAActiveState + * \brief Active state for algorithms + * + * The active state contains all algorithm-specific data that needs to be + * maintained by algorithms across frames. Unlike the session configuration, + * the active state is mutable and constantly updated by algorithms. The active + * state is accessible through the IPAContext structure. + * + * The active state stores two distinct categories of information: + * + * - The consolidated value of all algorithm controls. Requests passed to + * the queueRequest() function store values for controls that the + * application wants to modify for that particular frame, and the + * queueRequest() function updates the active state with those values. + * The active state thus contains a consolidated view of the value of all + * controls handled by the algorithm. + * + * - The value of parameters computed by the algorithm when running in auto + * mode. Algorithms running in auto mode compute new parameters every + * time statistics buffers are received (either synchronously, or + * possibly in a background thread). The latest computed value of those + * parameters is stored in the active state in the process() function. + * + * Each of the members in the active state belongs to a specific algorithm. A + * member may be read by any algorithm, but shall only be written by its owner. + */ + +/** + * \struct IPAFrameContext + * \brief Per-frame context for algorithms + * + * The frame context stores two distinct categories of information: + * + * - The value of the controls to be applied to the frame. These values are + * typically set in the queueRequest() function, from the consolidated + * control values stored in the active state. The frame context thus stores + * values for all controls related to the algorithm, not limited to the + * controls specified in the corresponding request, but consolidated from all + * requests that have been queued so far. + * + * For controls that can be set manually or computed by an algorithm + * (depending on the algorithm operation mode), such as for instance the + * colour gains for the AWB algorithm, the control value will be stored in + * the frame context in the queueRequest() function only when operating in + * manual mode. When operating in auto mode, the values are computed by the + * algorithm in process(), stored in the active state, and copied to the + * frame context in prepare(), just before being stored in the ISP parameters + * buffer. + * + * The queueRequest() function can also store ancillary data in the frame + * context, such as flags to indicate if (and what) control values have + * changed compared to the previous request. + * + * - Status information computed by the algorithm for a frame. For instance, + * the colour temperature estimated by the AWB algorithm from ISP statistics + * calculated on a frame is stored in the frame context for that frame in + * the process() function. + */ + +/** + * \struct IPAContext + * \brief Global IPA context data shared between all algorithms + * + * \var IPAContext::configuration + * \brief The IPA session configuration, immutable during the session + * + * \var IPAContext::activeState + * \brief The IPA active state, storing the latest state for all algorithms + * + * \var IPAContext::frameContexts + * \brief Ring buffer of per-frame contexts + */ + +} /* namespace libcamera::ipa::mali_c55 */ diff --git a/src/ipa/mali-c55/ipa_context.h b/src/ipa/mali-c55/ipa_context.h new file mode 100644 index 00000000..5e3e2fbd --- /dev/null +++ b/src/ipa/mali-c55/ipa_context.h @@ -0,0 +1,90 @@ +/* SPDX-License-Identifier: LGPL-2.1-or-later */ +/* + * Copyright (C) 2024, Ideas On Board + * + * ipa_context.h - Mali-C55 IPA Context + */ + +#pragma once + +#include <libcamera/base/utils.h> +#include <libcamera/controls.h> + +#include "libcamera/internal/bayer_format.h" + +#include <libipa/fc_queue.h> + +namespace libcamera { + +namespace ipa::mali_c55 { + +struct IPASessionConfiguration { + struct { + utils::Duration minShutterSpeed; + utils::Duration maxShutterSpeed; + uint32_t defaultExposure; + double minAnalogueGain; + double maxAnalogueGain; + } agc; + + struct { + BayerFormat::Order bayerOrder; + utils::Duration lineDuration; + uint32_t blackLevel; + } sensor; +}; + +struct IPAActiveState { + struct { + struct { + uint32_t exposure; + double sensorGain; + double ispGain; + } automatic; + struct { + uint32_t exposure; + double sensorGain; + double ispGain; + } manual; + bool autoEnabled; + uint32_t constraintMode; + uint32_t exposureMode; + uint32_t temperatureK; + } agc; + + struct { + double rGain; + double bGain; + } awb; +}; + +struct IPAFrameContext : public FrameContext { + struct { + uint32_t exposure; + double sensorGain; + double ispGain; + } agc; + + struct { + double rGain; + double bGain; + } awb; +}; + +struct IPAContext { + IPAContext(unsigned int frameContextSize) + : frameContexts(frameContextSize) + { + } + + IPASessionConfiguration configuration; + IPAActiveState activeState; + + FCQueue<IPAFrameContext> frameContexts; + + ControlInfoMap::Map ctrlMap; +}; + +} /* namespace ipa::mali_c55 */ + +} /* namespace libcamera*/ diff --git a/src/ipa/mali-c55/mali-c55.cpp b/src/ipa/mali-c55/mali-c55.cpp new file mode 100644 index 00000000..c6941a95 --- /dev/null +++ b/src/ipa/mali-c55/mali-c55.cpp @@ -0,0 +1,399 @@ +/* SPDX-License-Identifier: LGPL-2.1-or-later */ +/* + * Copyright (C) 2023, Ideas on Board Oy + * + * mali-c55.cpp - Mali-C55 ISP image processing algorithms + */ + +#include <map> +#include <string.h> +#include <vector> + +#include <linux/mali-c55-config.h> +#include <linux/v4l2-controls.h> + +#include <libcamera/base/file.h> +#include <libcamera/base/log.h> + +#include <libcamera/control_ids.h> +#include <libcamera/ipa/ipa_interface.h> +#include <libcamera/ipa/ipa_module_info.h> +#include <libcamera/ipa/mali-c55_ipa_interface.h> + +#include "libcamera/internal/bayer_format.h" +#include "libcamera/internal/mapped_framebuffer.h" +#include "libcamera/internal/yaml_parser.h" + +#include "algorithms/algorithm.h" +#include "libipa/camera_sensor_helper.h" + +#include "ipa_context.h" + +namespace libcamera { + +LOG_DEFINE_CATEGORY(IPAMaliC55) + +using namespace std::literals::chrono_literals; + +namespace ipa::mali_c55 { + +/* Maximum number of frame contexts to be held */ +static constexpr uint32_t kMaxFrameContexts = 16; + +class IPAMaliC55 : public IPAMaliC55Interface, public Module +{ +public: + IPAMaliC55(); + + int init(const IPASettings &settings, const IPAConfigInfo &ipaConfig, + ControlInfoMap *ipaControls) override; + int start() override; + void stop() override; + int configure(const IPAConfigInfo &ipaConfig, uint8_t bayerOrder, + ControlInfoMap *ipaControls) override; + void mapBuffers(const std::vector<IPABuffer> &buffers, bool readOnly) override; + void unmapBuffers(const std::vector<IPABuffer> &buffers) override; + void queueRequest(const uint32_t request, const ControlList &controls) override; + void fillParams(unsigned int request, uint32_t bufferId) override; + void processStats(unsigned int request, unsigned int bufferId, + const ControlList &sensorControls) override; + +protected: + std::string logPrefix() const override; + +private: + void updateSessionConfiguration(const IPACameraSensorInfo &info, + const ControlInfoMap &sensorControls, + BayerFormat::Order bayerOrder); + void updateControls(const IPACameraSensorInfo &sensorInfo, + const ControlInfoMap &sensorControls, + ControlInfoMap *ipaControls); + void setControls(); + + std::map<unsigned int, MappedFrameBuffer> buffers_; + + ControlInfoMap sensorControls_; + + /* Interface to the Camera Helper */ + std::unique_ptr<CameraSensorHelper> camHelper_; + + /* Local parameter storage */ + struct IPAContext context_; +}; + +namespace { + +} /* namespace */ + +IPAMaliC55::IPAMaliC55() + : context_(kMaxFrameContexts) +{ +} + +std::string IPAMaliC55::logPrefix() const +{ + return "mali-c55"; +} + +int IPAMaliC55::init(const IPASettings &settings, const IPAConfigInfo &ipaConfig, + ControlInfoMap *ipaControls) +{ + camHelper_ = CameraSensorHelperFactoryBase::create(settings.sensorModel); + if (!camHelper_) { + LOG(IPAMaliC55, Error) + << "Failed to create camera sensor helper for " + << settings.sensorModel; + return -ENODEV; + } + + File file(settings.configurationFile); + if (!file.open(File::OpenModeFlag::ReadOnly)) { + int ret = file.error(); + LOG(IPAMaliC55, Error) + << "Failed to open configuration file " + << settings.configurationFile << ": " << strerror(-ret); + return ret; + } + + std::unique_ptr<libcamera::YamlObject> data = YamlParser::parse(file); + if (!data) + return -EINVAL; + + if (!data->contains("algorithms")) { + LOG(IPAMaliC55, Error) + << "Tuning file doesn't contain any algorithm"; + return -EINVAL; + } + + int ret = createAlgorithms(context_, (*data)["algorithms"]); + if (ret) + return ret; + + updateControls(ipaConfig.sensorInfo, ipaConfig.sensorControls, ipaControls); + + return 0; +} + +void IPAMaliC55::setControls() +{ + IPAActiveState &activeState = context_.activeState; + uint32_t exposure; + uint32_t gain; + + if (activeState.agc.autoEnabled) { + exposure = activeState.agc.automatic.exposure; + gain = camHelper_->gainCode(activeState.agc.automatic.sensorGain); + } else { + exposure = activeState.agc.manual.exposure; + gain = camHelper_->gainCode(activeState.agc.manual.sensorGain); + } + + ControlList ctrls(sensorControls_); + ctrls.set(V4L2_CID_EXPOSURE, static_cast<int32_t>(exposure)); + ctrls.set(V4L2_CID_ANALOGUE_GAIN, static_cast<int32_t>(gain)); + + setSensorControls.emit(ctrls); +} + +int IPAMaliC55::start() +{ + return 0; +} + +void IPAMaliC55::stop() +{ + context_.frameContexts.clear(); +} + +void IPAMaliC55::updateSessionConfiguration(const IPACameraSensorInfo &info, + const ControlInfoMap &sensorControls, + BayerFormat::Order bayerOrder) +{ + context_.configuration.sensor.bayerOrder = bayerOrder; + + const ControlInfo &v4l2Exposure = sensorControls.find(V4L2_CID_EXPOSURE)->second; + int32_t minExposure = v4l2Exposure.min().get<int32_t>(); + int32_t maxExposure = v4l2Exposure.max().get<int32_t>(); + int32_t defExposure = v4l2Exposure.def().get<int32_t>(); + + const ControlInfo &v4l2Gain = sensorControls.find(V4L2_CID_ANALOGUE_GAIN)->second; + int32_t minGain = v4l2Gain.min().get<int32_t>(); + int32_t maxGain = v4l2Gain.max().get<int32_t>(); + + /* + * When the AGC computes the new exposure values for a frame, it needs + * to know the limits for shutter speed and analogue gain. + * As it depends on the sensor, update it with the controls. + * + * \todo take VBLANK into account for maximum shutter speed + */ + context_.configuration.sensor.lineDuration = info.minLineLength * 1.0s / info.pixelRate; + context_.configuration.agc.minShutterSpeed = minExposure * context_.configuration.sensor.lineDuration; + context_.configuration.agc.maxShutterSpeed = maxExposure * context_.configuration.sensor.lineDuration; + context_.configuration.agc.defaultExposure = defExposure; + context_.configuration.agc.minAnalogueGain = camHelper_->gain(minGain); + context_.configuration.agc.maxAnalogueGain = camHelper_->gain(maxGain); + + if (camHelper_->blackLevel().has_value()) { + /* + * The black level from CameraSensorHelper is a 16-bit value. + * The Mali-C55 ISP expects 20-bit settings, so we shift it to + * the appropriate width + */ + context_.configuration.sensor.blackLevel = + camHelper_->blackLevel().value() << 4; + } +} + +void IPAMaliC55::updateControls(const IPACameraSensorInfo &sensorInfo, + const ControlInfoMap &sensorControls, + ControlInfoMap *ipaControls) +{ + ControlInfoMap::Map ctrlMap; + + /* + * Compute the frame duration limits. + * + * The frame length is computed assuming a fixed line length combined + * with the vertical frame sizes. + */ + const ControlInfo &v4l2HBlank = sensorControls.find(V4L2_CID_HBLANK)->second; + uint32_t hblank = v4l2HBlank.def().get<int32_t>(); + uint32_t lineLength = sensorInfo.outputSize.width + hblank; + + const ControlInfo &v4l2VBlank = sensorControls.find(V4L2_CID_VBLANK)->second; + std::array<uint32_t, 3> frameHeights{ + v4l2VBlank.min().get<int32_t>() + sensorInfo.outputSize.height, + v4l2VBlank.max().get<int32_t>() + sensorInfo.outputSize.height, + v4l2VBlank.def().get<int32_t>() + sensorInfo.outputSize.height, + }; + + std::array<int64_t, 3> frameDurations; + for (unsigned int i = 0; i < frameHeights.size(); ++i) { + uint64_t frameSize = lineLength * frameHeights[i]; + frameDurations[i] = frameSize / (sensorInfo.pixelRate / 1000000U); + } + + ctrlMap[&controls::FrameDurationLimits] = ControlInfo(frameDurations[0], + frameDurations[1], + frameDurations[2]); + + /* + * Compute exposure time limits from the V4L2_CID_EXPOSURE control + * limits and the line duration. + */ + double lineDuration = sensorInfo.minLineLength / sensorInfo.pixelRate; + + const ControlInfo &v4l2Exposure = sensorControls.find(V4L2_CID_EXPOSURE)->second; + int32_t minExposure = v4l2Exposure.min().get<int32_t>() * lineDuration; + int32_t maxExposure = v4l2Exposure.max().get<int32_t>() * lineDuration; + int32_t defExposure = v4l2Exposure.def().get<int32_t>() * lineDuration; + ctrlMap[&controls::ExposureTime] = ControlInfo(minExposure, maxExposure, defExposure); + + /* Compute the analogue gain limits. */ + const ControlInfo &v4l2Gain = sensorControls.find(V4L2_CID_ANALOGUE_GAIN)->second; + float minGain = camHelper_->gain(v4l2Gain.min().get<int32_t>()); + float maxGain = camHelper_->gain(v4l2Gain.max().get<int32_t>()); + float defGain = camHelper_->gain(v4l2Gain.def().get<int32_t>()); + ctrlMap[&controls::AnalogueGain] = ControlInfo(minGain, maxGain, defGain); + + /* + * Merge in any controls that we support either statically or from the + * algorithms. + */ + ctrlMap.merge(context_.ctrlMap); + + *ipaControls = ControlInfoMap(std::move(ctrlMap), controls::controls); +} + +int IPAMaliC55::configure(const IPAConfigInfo &ipaConfig, uint8_t bayerOrder, + ControlInfoMap *ipaControls) +{ + sensorControls_ = ipaConfig.sensorControls; + + /* Clear the IPA context before the streaming session. */ + context_.configuration = {}; + context_.activeState = {}; + context_.frameContexts.clear(); + + const IPACameraSensorInfo &info = ipaConfig.sensorInfo; + + updateSessionConfiguration(info, ipaConfig.sensorControls, + static_cast<BayerFormat::Order>(bayerOrder)); + updateControls(info, ipaConfig.sensorControls, ipaControls); + + for (auto const &a : algorithms()) { + Algorithm *algo = static_cast<Algorithm *>(a.get()); + + int ret = algo->configure(context_, info); + if (ret) + return ret; + } + + return 0; +} + +void IPAMaliC55::mapBuffers(const std::vector<IPABuffer> &buffers, bool readOnly) +{ + for (const IPABuffer &buffer : buffers) { + const FrameBuffer fb(buffer.planes); + buffers_.emplace( + buffer.id, + MappedFrameBuffer( + &fb, + readOnly ? MappedFrameBuffer::MapFlag::Read + : MappedFrameBuffer::MapFlag::ReadWrite)); + } +} + +void IPAMaliC55::unmapBuffers(const std::vector<IPABuffer> &buffers) +{ + for (const IPABuffer &buffer : buffers) { + auto it = buffers_.find(buffer.id); + if (it == buffers_.end()) + continue; + + buffers_.erase(buffer.id); + } +} + +void IPAMaliC55::queueRequest(const uint32_t request, const ControlList &controls) +{ + IPAFrameContext &frameContext = context_.frameContexts.alloc(request); + + for (auto const &a : algorithms()) { + Algorithm *algo = static_cast<Algorithm *>(a.get()); + + algo->queueRequest(context_, request, frameContext, controls); + } +} + +void IPAMaliC55::fillParams(unsigned int request, + [[maybe_unused]] uint32_t bufferId) +{ + struct mali_c55_params_buffer *params; + IPAFrameContext &frameContext = context_.frameContexts.get(request); + + params = reinterpret_cast<mali_c55_params_buffer *>( + buffers_.at(bufferId).planes()[0].data()); + memset(params, 0, sizeof(mali_c55_params_buffer)); + + params->version = MALI_C55_PARAM_BUFFER_V1; + + for (auto const &algo : algorithms()) { + algo->prepare(context_, request, frameContext, params); + + ASSERT(params->total_size <= MALI_C55_PARAMS_MAX_SIZE); + } + + paramsComputed.emit(request); +} + +void IPAMaliC55::processStats(unsigned int request, unsigned int bufferId, + const ControlList &sensorControls) +{ + IPAFrameContext &frameContext = context_.frameContexts.get(request); + const mali_c55_stats_buffer *stats = nullptr; + + stats = reinterpret_cast<mali_c55_stats_buffer *>( + buffers_.at(bufferId).planes()[0].data()); + + frameContext.agc.exposure = + sensorControls.get(V4L2_CID_EXPOSURE).get<int32_t>(); + frameContext.agc.sensorGain = + camHelper_->gain(sensorControls.get(V4L2_CID_ANALOGUE_GAIN).get<int32_t>()); + + ControlList metadata(controls::controls); + + for (auto const &a : algorithms()) { + Algorithm *algo = static_cast<Algorithm *>(a.get()); + + algo->process(context_, request, frameContext, stats, metadata); + } + + setControls(); + + statsProcessed.emit(request, metadata); +} + +} /* namespace ipa::mali_c55 */ + +/* + * External IPA module interface + */ +extern "C" { +const struct IPAModuleInfo ipaModuleInfo = { + IPA_MODULE_API_VERSION, + 1, + "mali-c55", + "mali-c55", +}; + +IPAInterface *ipaCreate() +{ + return new ipa::mali_c55::IPAMaliC55(); +} + +} /* extern "C" */ + +} /* namespace libcamera */ diff --git a/src/ipa/mali-c55/meson.build b/src/ipa/mali-c55/meson.build new file mode 100644 index 00000000..864d90ec --- /dev/null +++ b/src/ipa/mali-c55/meson.build @@ -0,0 +1,33 @@ +# SPDX-License-Identifier: CC0-1.0 + +subdir('algorithms') +subdir('data') + +ipa_name = 'ipa_mali_c55' + +mali_c55_ipa_sources = files([ + 'ipa_context.cpp', + 'mali-c55.cpp' +]) + +mali_c55_ipa_sources += mali_c55_ipa_algorithms + +mod = shared_module(ipa_name, + mali_c55_ipa_sources, + name_prefix : '', + include_directories : [ipa_includes, libipa_includes], + dependencies : libcamera_private, + link_with : libipa, + install : true, + install_dir : ipa_install_dir) + +if ipa_sign_module + custom_target(ipa_name + '.so.sign', + input : mod, + output : ipa_name + '.so.sign', + command : [ipa_sign, ipa_priv_key, '@INPUT@', '@OUTPUT@'], + install : false, + build_by_default : true) +endif + +ipa_names += ipa_name diff --git a/src/ipa/mali-c55/module.h b/src/ipa/mali-c55/module.h new file mode 100644 index 00000000..1d85ec1f --- /dev/null +++ b/src/ipa/mali-c55/module.h @@ -0,0 +1,27 @@ +/* SPDX-License-Identifier: LGPL-2.1-or-later */ +/* + * Copyright (C) 2024, Ideas On Board + * + * module.h - Mali-C55 IPA Module + */ + +#pragma once + +#include <linux/mali-c55-config.h> + +#include <libcamera/ipa/mali-c55_ipa_interface.h> + +#include <libipa/module.h> + +#include "ipa_context.h" + +namespace libcamera { + +namespace ipa::mali_c55 { + +using Module = ipa::Module<IPAContext, IPAFrameContext, IPACameraSensorInfo, + mali_c55_params_buffer, mali_c55_stats_buffer>; + +} /* namespace ipa::mali_c55 */ + +} /* namespace libcamera*/ diff --git a/src/ipa/rkisp1/algorithms/agc.cpp b/src/ipa/rkisp1/algorithms/agc.cpp index f12f8b60..b3ac9400 100644 --- a/src/ipa/rkisp1/algorithms/agc.cpp +++ b/src/ipa/rkisp1/algorithms/agc.cpp @@ -148,7 +148,16 @@ int Agc::init(IPAContext &context, const YamlObject &tuningData) if (ret) return ret; - context.ctrlMap[&controls::AeEnable] = ControlInfo(false, true); + context.ctrlMap[&controls::ExposureTimeMode] = + ControlInfo({ { ControlValue(controls::ExposureTimeModeAuto), + ControlValue(controls::ExposureTimeModeManual) } }, + ControlValue(controls::ExposureTimeModeAuto)); + context.ctrlMap[&controls::AnalogueGainMode] = + ControlInfo({ { ControlValue(controls::AnalogueGainModeAuto), + ControlValue(controls::AnalogueGainModeManual) } }, + ControlValue(controls::AnalogueGainModeAuto)); + /* \todo Move this to the Camera class */ + context.ctrlMap[&controls::AeEnable] = ControlInfo(false, true, true); context.ctrlMap.merge(controls()); return 0; @@ -169,7 +178,8 @@ int Agc::configure(IPAContext &context, const IPACameraSensorInfo &configInfo) 10ms / context.configuration.sensor.lineDuration; context.activeState.agc.manual.gain = context.activeState.agc.automatic.gain; context.activeState.agc.manual.exposure = context.activeState.agc.automatic.exposure; - context.activeState.agc.autoEnabled = !context.configuration.raw; + context.activeState.agc.autoExposureEnabled = !context.configuration.raw; + context.activeState.agc.autoGainEnabled = !context.configuration.raw; context.activeState.agc.constraintMode = static_cast<controls::AeConstraintModeEnum>(constraintModes().begin()->first); @@ -178,24 +188,18 @@ int Agc::configure(IPAContext &context, const IPACameraSensorInfo &configInfo) context.activeState.agc.meteringMode = static_cast<controls::AeMeteringModeEnum>(meteringModes_.begin()->first); - /* - * \todo This should probably come from FrameDurationLimits instead, - * except it's computed in the IPA and not here so we'd have to - * recompute it. - */ - context.activeState.agc.maxFrameDuration = context.configuration.sensor.maxShutterSpeed; + /* Limit the frame duration to match current initialisation */ + ControlInfo &frameDurationLimits = context.ctrlMap[&controls::FrameDurationLimits]; + context.activeState.agc.minFrameDuration = std::chrono::microseconds(frameDurationLimits.min().get<int64_t>()); + context.activeState.agc.maxFrameDuration = std::chrono::microseconds(frameDurationLimits.max().get<int64_t>()); - /* - * Define the measurement window for AGC as a centered rectangle - * covering 3/4 of the image width and height. - */ - context.configuration.agc.measureWindow.h_offs = configInfo.outputSize.width / 8; - context.configuration.agc.measureWindow.v_offs = configInfo.outputSize.height / 8; - context.configuration.agc.measureWindow.h_size = 3 * configInfo.outputSize.width / 4; - context.configuration.agc.measureWindow.v_size = 3 * configInfo.outputSize.height / 4; + context.configuration.agc.measureWindow.h_offs = 0; + context.configuration.agc.measureWindow.v_offs = 0; + context.configuration.agc.measureWindow.h_size = configInfo.outputSize.width; + context.configuration.agc.measureWindow.v_size = configInfo.outputSize.height; - setLimits(context.configuration.sensor.minShutterSpeed, - context.configuration.sensor.maxShutterSpeed, + setLimits(context.configuration.sensor.minExposureTime, + context.configuration.sensor.maxExposureTime, context.configuration.sensor.minAnalogueGain, context.configuration.sensor.maxAnalogueGain); @@ -215,18 +219,47 @@ void Agc::queueRequest(IPAContext &context, auto &agc = context.activeState.agc; if (!context.configuration.raw) { - const auto &agcEnable = controls.get(controls::AeEnable); - if (agcEnable && *agcEnable != agc.autoEnabled) { - agc.autoEnabled = *agcEnable; + const auto &aeEnable = controls.get(controls::ExposureTimeMode); + if (aeEnable && + (*aeEnable == controls::ExposureTimeModeAuto) != agc.autoExposureEnabled) { + agc.autoExposureEnabled = (*aeEnable == controls::ExposureTimeModeAuto); LOG(RkISP1Agc, Debug) - << (agc.autoEnabled ? "Enabling" : "Disabling") - << " AGC"; + << (agc.autoExposureEnabled ? "Enabling" : "Disabling") + << " AGC (exposure)"; + + /* + * If we go from auto -> manual with no manual control + * set, use the last computed value, which we don't + * know until prepare() so save this information. + * + * \todo Check the previous frame at prepare() time + * instead of saving a flag here + */ + if (!agc.autoExposureEnabled && !controls.get(controls::ExposureTime)) + frameContext.agc.autoExposureModeChange = true; + } + + const auto &agEnable = controls.get(controls::AnalogueGainMode); + if (agEnable && + (*agEnable == controls::AnalogueGainModeAuto) != agc.autoGainEnabled) { + agc.autoGainEnabled = (*agEnable == controls::AnalogueGainModeAuto); + + LOG(RkISP1Agc, Debug) + << (agc.autoGainEnabled ? "Enabling" : "Disabling") + << " AGC (gain)"; + /* + * If we go from auto -> manual with no manual control + * set, use the last computed value, which we don't + * know until prepare() so save this information. + */ + if (!agc.autoGainEnabled && !controls.get(controls::AnalogueGain)) + frameContext.agc.autoGainModeChange = true; } } const auto &exposure = controls.get(controls::ExposureTime); - if (exposure && !agc.autoEnabled) { + if (exposure && !agc.autoExposureEnabled) { agc.manual.exposure = *exposure * 1.0us / context.configuration.sensor.lineDuration; @@ -235,18 +268,19 @@ void Agc::queueRequest(IPAContext &context, } const auto &gain = controls.get(controls::AnalogueGain); - if (gain && !agc.autoEnabled) { + if (gain && !agc.autoGainEnabled) { agc.manual.gain = *gain; LOG(RkISP1Agc, Debug) << "Set gain to " << agc.manual.gain; } - frameContext.agc.autoEnabled = agc.autoEnabled; + frameContext.agc.autoExposureEnabled = agc.autoExposureEnabled; + frameContext.agc.autoGainEnabled = agc.autoGainEnabled; - if (!frameContext.agc.autoEnabled) { + if (!frameContext.agc.autoExposureEnabled) frameContext.agc.exposure = agc.manual.exposure; + if (!frameContext.agc.autoGainEnabled) frameContext.agc.gain = agc.manual.gain; - } const auto &meteringMode = controls.get(controls::AeMeteringMode); if (meteringMode) { @@ -270,10 +304,21 @@ void Agc::queueRequest(IPAContext &context, const auto &frameDurationLimits = controls.get(controls::FrameDurationLimits); if (frameDurationLimits) { - utils::Duration maxFrameDuration = - std::chrono::milliseconds((*frameDurationLimits).back()); - agc.maxFrameDuration = maxFrameDuration; + /* Limit the control value to the limits in ControlInfo */ + ControlInfo &limits = context.ctrlMap[&controls::FrameDurationLimits]; + int64_t minFrameDuration = + std::clamp((*frameDurationLimits).front(), + limits.min().get<int64_t>(), + limits.max().get<int64_t>()); + int64_t maxFrameDuration = + std::clamp((*frameDurationLimits).back(), + limits.min().get<int64_t>(), + limits.max().get<int64_t>()); + + agc.minFrameDuration = std::chrono::microseconds(minFrameDuration); + agc.maxFrameDuration = std::chrono::microseconds(maxFrameDuration); } + frameContext.agc.minFrameDuration = agc.minFrameDuration; frameContext.agc.maxFrameDuration = agc.maxFrameDuration; } @@ -281,51 +326,66 @@ void Agc::queueRequest(IPAContext &context, * \copydoc libcamera::ipa::Algorithm::prepare */ void Agc::prepare(IPAContext &context, const uint32_t frame, - IPAFrameContext &frameContext, rkisp1_params_cfg *params) + IPAFrameContext &frameContext, RkISP1Params *params) { - if (frameContext.agc.autoEnabled) { - frameContext.agc.exposure = context.activeState.agc.automatic.exposure; - frameContext.agc.gain = context.activeState.agc.automatic.gain; + uint32_t activeAutoExposure = context.activeState.agc.automatic.exposure; + double activeAutoGain = context.activeState.agc.automatic.gain; + + /* Populate exposure and gain in auto mode */ + if (frameContext.agc.autoExposureEnabled) + frameContext.agc.exposure = activeAutoExposure; + if (frameContext.agc.autoGainEnabled) + frameContext.agc.gain = activeAutoGain; + + /* + * Populate manual exposure and gain from the active auto values when + * transitioning from auto to manual + */ + if (!frameContext.agc.autoExposureEnabled && frameContext.agc.autoExposureModeChange) { + context.activeState.agc.manual.exposure = activeAutoExposure; + frameContext.agc.exposure = activeAutoExposure; + } + if (!frameContext.agc.autoGainEnabled && frameContext.agc.autoGainModeChange) { + context.activeState.agc.manual.gain = activeAutoGain; + frameContext.agc.gain = activeAutoGain; } if (frame > 0 && !frameContext.agc.updateMetering) return; - /* Configure the measurement window. */ - params->meas.aec_config.meas_window = context.configuration.agc.measureWindow; - /* Use a continuous method for measure. */ - params->meas.aec_config.autostop = RKISP1_CIF_ISP_EXP_CTRL_AUTOSTOP_0; - /* Estimate Y as (R + G + B) x (85/256). */ - params->meas.aec_config.mode = RKISP1_CIF_ISP_EXP_MEASURING_MODE_1; + /* + * Configure the AEC measurements. Set the window, measure + * continuously, and estimate Y as (R + G + B) x (85/256). + */ + auto aecConfig = params->block<BlockType::Aec>(); + aecConfig.setEnabled(true); + + aecConfig->meas_window = context.configuration.agc.measureWindow; + aecConfig->autostop = RKISP1_CIF_ISP_EXP_CTRL_AUTOSTOP_0; + aecConfig->mode = RKISP1_CIF_ISP_EXP_MEASURING_MODE_1; - params->module_cfg_update |= RKISP1_CIF_ISP_MODULE_AEC; - params->module_ens |= RKISP1_CIF_ISP_MODULE_AEC; - params->module_en_update |= RKISP1_CIF_ISP_MODULE_AEC; + /* + * Configure the histogram measurement. Set the window, produce a + * luminance histogram, and set the weights and predivider. + */ + auto hstConfig = params->block<BlockType::Hst>(); + hstConfig.setEnabled(true); - /* Configure histogram. */ - params->meas.hst_config.meas_window = context.configuration.agc.measureWindow; - /* Produce the luminance histogram. */ - params->meas.hst_config.mode = RKISP1_CIF_ISP_HISTOGRAM_MODE_Y_HISTOGRAM; + hstConfig->meas_window = context.configuration.agc.measureWindow; + hstConfig->mode = RKISP1_CIF_ISP_HISTOGRAM_MODE_Y_HISTOGRAM; - /* Set an average weighted histogram. */ Span<uint8_t> weights{ - params->meas.hst_config.hist_weight, + hstConfig->hist_weight, context.hw->numHistogramWeights }; std::vector<uint8_t> &modeWeights = meteringModes_.at(frameContext.agc.meteringMode); std::copy(modeWeights.begin(), modeWeights.end(), weights.begin()); - struct rkisp1_cif_isp_window window = params->meas.hst_config.meas_window; + struct rkisp1_cif_isp_window window = hstConfig->meas_window; Size windowSize = { window.h_size, window.v_size }; - params->meas.hst_config.histogram_predivider = + hstConfig->histogram_predivider = computeHistogramPredivider(windowSize, - static_cast<rkisp1_cif_isp_histogram_mode>(params->meas.hst_config.mode)); - - /* Update the configuration for histogram. */ - params->module_cfg_update |= RKISP1_CIF_ISP_MODULE_HST; - /* Enable the histogram measure unit. */ - params->module_ens |= RKISP1_CIF_ISP_MODULE_HST; - params->module_en_update |= RKISP1_CIF_ISP_MODULE_HST; + static_cast<rkisp1_cif_isp_histogram_mode>(hstConfig->mode)); } void Agc::fillMetadata(IPAContext &context, IPAFrameContext &frameContext, @@ -335,14 +395,15 @@ void Agc::fillMetadata(IPAContext &context, IPAFrameContext &frameContext, * frameContext.sensor.exposure; metadata.set(controls::AnalogueGain, frameContext.sensor.gain); metadata.set(controls::ExposureTime, exposureTime.get<std::micro>()); - metadata.set(controls::AeEnable, frameContext.agc.autoEnabled); - - /* \todo Use VBlank value calculated from each frame exposure. */ - uint32_t vTotal = context.configuration.sensor.size.height - + context.configuration.sensor.defVBlank; - utils::Duration frameDuration = context.configuration.sensor.lineDuration - * vTotal; - metadata.set(controls::FrameDuration, frameDuration.get<std::micro>()); + metadata.set(controls::FrameDuration, frameContext.agc.frameDuration.get<std::micro>()); + metadata.set(controls::ExposureTimeMode, + frameContext.agc.autoExposureEnabled + ? controls::ExposureTimeModeAuto + : controls::ExposureTimeModeManual); + metadata.set(controls::AnalogueGainMode, + frameContext.agc.autoGainEnabled + ? controls::AnalogueGainModeAuto + : controls::AnalogueGainModeManual); metadata.set(controls::AeMeteringMode, frameContext.agc.meteringMode); metadata.set(controls::AeExposureMode, frameContext.agc.exposureMode); @@ -374,15 +435,41 @@ void Agc::fillMetadata(IPAContext &context, IPAFrameContext &frameContext, */ double Agc::estimateLuminance(double gain) const { + ASSERT(expMeans_.size() == weights_.size()); double ySum = 0.0; + double wSum = 0.0; /* Sum the averages, saturated to 255. */ - for (uint8_t expMean : expMeans_) - ySum += std::min(expMean * gain, 255.0); + for (unsigned i = 0; i < expMeans_.size(); i++) { + double w = weights_[i]; + ySum += std::min(expMeans_[i] * gain, 255.0) * w; + wSum += w; + } /* \todo Weight with the AWB gains */ - return ySum / expMeans_.size() / 255; + return ySum / wSum / 255; +} + +/** + * \brief Process frame duration and compute vblank + * \param[in] context The shared IPA context + * \param[in] frameContext The current frame context + * \param[in] frameDuration The target frame duration + * + * Compute and populate vblank from the target frame duration. + */ +void Agc::processFrameDuration(IPAContext &context, + IPAFrameContext &frameContext, + utils::Duration frameDuration) +{ + IPACameraSensorInfo &sensorInfo = context.sensorInfo; + utils::Duration lineDuration = context.configuration.sensor.lineDuration; + + frameContext.agc.vblank = (frameDuration / lineDuration) - sensorInfo.outputSize.height; + + /* Update frame duration accounting for line length quantization. */ + frameContext.agc.frameDuration = (sensorInfo.outputSize.height + frameContext.agc.vblank) * lineDuration; } /** @@ -401,10 +488,20 @@ void Agc::process(IPAContext &context, [[maybe_unused]] const uint32_t frame, ControlList &metadata) { if (!stats) { + processFrameDuration(context, frameContext, + frameContext.agc.minFrameDuration); fillMetadata(context, frameContext, metadata); return; } + if (!(stats->meas_type & RKISP1_CIF_ISP_STAT_AUTOEXP)) { + fillMetadata(context, frameContext, metadata); + LOG(RkISP1Agc, Error) << "AUTOEXP data is missing in statistics"; + return; + } + + const utils::Duration &lineDuration = context.configuration.sensor.lineDuration; + /* * \todo Verify that the exposure and gain applied by the sensor for * this frame match what has been requested. This isn't a hard @@ -414,47 +511,75 @@ void Agc::process(IPAContext &context, [[maybe_unused]] const uint32_t frame, */ const rkisp1_cif_isp_stat *params = &stats->params; - ASSERT(stats->meas_type & RKISP1_CIF_ISP_STAT_AUTOEXP); /* The lower 4 bits are fractional and meant to be discarded. */ Histogram hist({ params->hist.hist_bins, context.hw->numHistogramBins }, [](uint32_t x) { return x >> 4; }); expMeans_ = { params->ae.exp_mean, context.hw->numAeCells }; + std::vector<uint8_t> &modeWeights = meteringModes_.at(frameContext.agc.meteringMode); + weights_ = { modeWeights.data(), modeWeights.size() }; - utils::Duration maxShutterSpeed = - std::clamp(frameContext.agc.maxFrameDuration, - context.configuration.sensor.minShutterSpeed, - context.configuration.sensor.maxShutterSpeed); - setLimits(context.configuration.sensor.minShutterSpeed, - maxShutterSpeed, - context.configuration.sensor.minAnalogueGain, - context.configuration.sensor.maxAnalogueGain); + /* + * Set the AGC limits using the fixed exposure time and/or gain in + * manual mode, or the sensor limits in auto mode. + */ + utils::Duration minExposureTime; + utils::Duration maxExposureTime; + double minAnalogueGain; + double maxAnalogueGain; + + if (frameContext.agc.autoExposureEnabled) { + minExposureTime = context.configuration.sensor.minExposureTime; + maxExposureTime = std::clamp(frameContext.agc.maxFrameDuration, + context.configuration.sensor.minExposureTime, + context.configuration.sensor.maxExposureTime); + } else { + minExposureTime = context.configuration.sensor.lineDuration + * frameContext.agc.exposure; + maxExposureTime = minExposureTime; + } + + if (frameContext.agc.autoGainEnabled) { + minAnalogueGain = context.configuration.sensor.minAnalogueGain; + maxAnalogueGain = context.configuration.sensor.maxAnalogueGain; + } else { + minAnalogueGain = frameContext.agc.gain; + maxAnalogueGain = frameContext.agc.gain; + } + + setLimits(minExposureTime, maxExposureTime, minAnalogueGain, maxAnalogueGain); /* * The Agc algorithm needs to know the effective exposure value that was * applied to the sensor when the statistics were collected. */ - utils::Duration exposureTime = context.configuration.sensor.lineDuration - * frameContext.sensor.exposure; + utils::Duration exposureTime = lineDuration * frameContext.sensor.exposure; double analogueGain = frameContext.sensor.gain; utils::Duration effectiveExposureValue = exposureTime * analogueGain; - utils::Duration shutterTime; + utils::Duration newExposureTime; double aGain, dGain; - std::tie(shutterTime, aGain, dGain) = + std::tie(newExposureTime, aGain, dGain) = calculateNewEv(frameContext.agc.constraintMode, frameContext.agc.exposureMode, hist, effectiveExposureValue); LOG(RkISP1Agc, Debug) - << "Divided up shutter, analogue gain and digital gain are " - << shutterTime << ", " << aGain << " and " << dGain; + << "Divided up exposure time, analogue gain and digital gain are " + << newExposureTime << ", " << aGain << " and " << dGain; IPAActiveState &activeState = context.activeState; /* Update the estimated exposure and gain. */ - activeState.agc.automatic.exposure = shutterTime / context.configuration.sensor.lineDuration; + activeState.agc.automatic.exposure = newExposureTime / lineDuration; activeState.agc.automatic.gain = aGain; + /* + * Expand the target frame duration so that we do not run faster than + * the minimum frame duration when we have short exposures. + */ + processFrameDuration(context, frameContext, + std::max(frameContext.agc.minFrameDuration, newExposureTime)); + fillMetadata(context, frameContext, metadata); expMeans_ = {}; } diff --git a/src/ipa/rkisp1/algorithms/agc.h b/src/ipa/rkisp1/algorithms/agc.h index 9ceaa82b..7867eed9 100644 --- a/src/ipa/rkisp1/algorithms/agc.h +++ b/src/ipa/rkisp1/algorithms/agc.h @@ -15,7 +15,6 @@ #include <libcamera/geometry.h> #include "libipa/agc_mean_luminance.h" -#include "libipa/histogram.h" #include "algorithm.h" @@ -37,7 +36,7 @@ public: const ControlList &controls) override; void prepare(IPAContext &context, const uint32_t frame, IPAFrameContext &frameContext, - rkisp1_params_cfg *params) override; + RkISP1Params *params) override; void process(IPAContext &context, const uint32_t frame, IPAFrameContext &frameContext, const rkisp1_stat_buffer *stats, @@ -51,8 +50,12 @@ private: void fillMetadata(IPAContext &context, IPAFrameContext &frameContext, ControlList &metadata); double estimateLuminance(double gain) const override; + void processFrameDuration(IPAContext &context, + IPAFrameContext &frameContext, + utils::Duration frameDuration); Span<const uint8_t> expMeans_; + Span<const uint8_t> weights_; std::map<int32_t, std::vector<uint8_t>> meteringModes_; }; diff --git a/src/ipa/rkisp1/algorithms/awb.cpp b/src/ipa/rkisp1/algorithms/awb.cpp index 4ccafd48..eafe9308 100644 --- a/src/ipa/rkisp1/algorithms/awb.cpp +++ b/src/ipa/rkisp1/algorithms/awb.cpp @@ -8,14 +8,18 @@ #include "awb.h" #include <algorithm> -#include <cmath> -#include <iomanip> +#include <ios> #include <libcamera/base/log.h> #include <libcamera/control_ids.h> + #include <libcamera/ipa/core_ipa_interface.h> +#include "libipa/awb_bayes.h" +#include "libipa/awb_grey.h" +#include "libipa/colours.h" + /** * \file awb.h */ @@ -31,27 +35,100 @@ namespace ipa::rkisp1::algorithms { LOG_DEFINE_CATEGORY(RkISP1Awb) +constexpr int32_t kMinColourTemperature = 2500; +constexpr int32_t kMaxColourTemperature = 10000; +constexpr int32_t kDefaultColourTemperature = 5000; + /* Minimum mean value below which AWB can't operate. */ constexpr double kMeanMinThreshold = 2.0; +class RkISP1AwbStats final : public AwbStats +{ +public: + RkISP1AwbStats(const RGB<double> &rgbMeans) + : rgbMeans_(rgbMeans) + { + rg_ = rgbMeans_.r() / rgbMeans_.g(); + bg_ = rgbMeans_.b() / rgbMeans_.g(); + } + + double computeColourError(const RGB<double> &gains) const override + { + /* + * Compute the sum of the squared colour error (non-greyness) as + * it appears in the log likelihood equation. + */ + double deltaR = gains.r() * rg_ - 1.0; + double deltaB = gains.b() * bg_ - 1.0; + double delta2 = deltaR * deltaR + deltaB * deltaB; + + return delta2; + } + + RGB<double> rgbMeans() const override + { + return rgbMeans_; + } + +private: + RGB<double> rgbMeans_; + double rg_; + double bg_; +}; + Awb::Awb() : rgbMode_(false) { } /** + * \copydoc libcamera::ipa::Algorithm::init + */ +int Awb::init(IPAContext &context, const YamlObject &tuningData) +{ + auto &cmap = context.ctrlMap; + cmap[&controls::ColourTemperature] = ControlInfo(kMinColourTemperature, + kMaxColourTemperature, + kDefaultColourTemperature); + + if (!tuningData.contains("algorithm")) + LOG(RkISP1Awb, Info) << "No AWB algorithm specified." + << " Default to grey world"; + + auto mode = tuningData["algorithm"].get<std::string>("grey"); + if (mode == "grey") { + awbAlgo_ = std::make_unique<AwbGrey>(); + } else if (mode == "bayes") { + awbAlgo_ = std::make_unique<AwbBayes>(); + } else { + LOG(RkISP1Awb, Error) << "Unknown AWB algorithm: " << mode; + return -EINVAL; + } + LOG(RkISP1Awb, Debug) << "Using AWB algorithm: " << mode; + + int ret = awbAlgo_->init(tuningData); + if (ret) { + LOG(RkISP1Awb, Error) << "Failed to init AWB algorithm"; + return ret; + } + + const auto &src = awbAlgo_->controls(); + cmap.insert(src.begin(), src.end()); + + return 0; +} + +/** * \copydoc libcamera::ipa::Algorithm::configure */ int Awb::configure(IPAContext &context, const IPACameraSensorInfo &configInfo) { - context.activeState.awb.gains.manual.red = 1.0; - context.activeState.awb.gains.manual.blue = 1.0; - context.activeState.awb.gains.manual.green = 1.0; - context.activeState.awb.gains.automatic.red = 1.0; - context.activeState.awb.gains.automatic.blue = 1.0; - context.activeState.awb.gains.automatic.green = 1.0; + context.activeState.awb.gains.manual = RGB<double>{ 1.0 }; + context.activeState.awb.gains.automatic = + awbAlgo_->gainsFromColourTemperature(kDefaultColourTemperature); context.activeState.awb.autoEnabled = true; + context.activeState.awb.temperatureK = kDefaultColourTemperature; /* * Define the measurement window for AWB as a centered rectangle @@ -85,68 +162,80 @@ void Awb::queueRequest(IPAContext &context, << (*awbEnable ? "Enabling" : "Disabling") << " AWB"; } - const auto &colourGains = controls.get(controls::ColourGains); - if (colourGains && !awb.autoEnabled) { - awb.gains.manual.red = (*colourGains)[0]; - awb.gains.manual.blue = (*colourGains)[1]; - - LOG(RkISP1Awb, Debug) - << "Set colour gains to red: " << awb.gains.manual.red - << ", blue: " << awb.gains.manual.blue; - } + awbAlgo_->handleControls(controls); frameContext.awb.autoEnabled = awb.autoEnabled; - if (!awb.autoEnabled) { - frameContext.awb.gains.red = awb.gains.manual.red; - frameContext.awb.gains.green = 1.0; - frameContext.awb.gains.blue = awb.gains.manual.blue; + if (awb.autoEnabled) + return; + + const auto &colourGains = controls.get(controls::ColourGains); + const auto &colourTemperature = controls.get(controls::ColourTemperature); + bool update = false; + if (colourGains) { + awb.gains.manual.r() = (*colourGains)[0]; + awb.gains.manual.b() = (*colourGains)[1]; + /* + * \todo Colour temperature reported in metadata is now + * incorrect, as we can't deduce the temperature from the gains. + * This will be fixed with the bayes AWB algorithm. + */ + update = true; + } else if (colourTemperature) { + const auto &gains = awbAlgo_->gainsFromColourTemperature(*colourTemperature); + awb.gains.manual.r() = gains.r(); + awb.gains.manual.b() = gains.b(); + awb.temperatureK = *colourTemperature; + update = true; } + + if (update) + LOG(RkISP1Awb, Debug) + << "Set colour gains to " << awb.gains.manual; + + frameContext.awb.gains = awb.gains.manual; + frameContext.awb.temperatureK = awb.temperatureK; } /** * \copydoc libcamera::ipa::Algorithm::prepare */ void Awb::prepare(IPAContext &context, const uint32_t frame, - IPAFrameContext &frameContext, rkisp1_params_cfg *params) + IPAFrameContext &frameContext, RkISP1Params *params) { /* * This is the latest time we can read the active state. This is the * most up-to-date automatic values we can read. */ if (frameContext.awb.autoEnabled) { - frameContext.awb.gains.red = context.activeState.awb.gains.automatic.red; - frameContext.awb.gains.green = context.activeState.awb.gains.automatic.green; - frameContext.awb.gains.blue = context.activeState.awb.gains.automatic.blue; + frameContext.awb.gains = context.activeState.awb.gains.automatic; + frameContext.awb.temperatureK = context.activeState.awb.temperatureK; } - params->others.awb_gain_config.gain_green_b = - std::clamp<int>(256 * frameContext.awb.gains.green, 0, 0x3ff); - params->others.awb_gain_config.gain_blue = - std::clamp<int>(256 * frameContext.awb.gains.blue, 0, 0x3ff); - params->others.awb_gain_config.gain_red = - std::clamp<int>(256 * frameContext.awb.gains.red, 0, 0x3ff); - params->others.awb_gain_config.gain_green_r = - std::clamp<int>(256 * frameContext.awb.gains.green, 0, 0x3ff); + auto gainConfig = params->block<BlockType::AwbGain>(); + gainConfig.setEnabled(true); - /* Update the gains. */ - params->module_cfg_update |= RKISP1_CIF_ISP_MODULE_AWB_GAIN; + gainConfig->gain_green_b = std::clamp<int>(256 * frameContext.awb.gains.g(), 0, 0x3ff); + gainConfig->gain_blue = std::clamp<int>(256 * frameContext.awb.gains.b(), 0, 0x3ff); + gainConfig->gain_red = std::clamp<int>(256 * frameContext.awb.gains.r(), 0, 0x3ff); + gainConfig->gain_green_r = std::clamp<int>(256 * frameContext.awb.gains.g(), 0, 0x3ff); /* If we have already set the AWB measurement parameters, return. */ if (frame > 0) return; - rkisp1_cif_isp_awb_meas_config &awb_config = params->meas.awb_meas_config; + auto awbConfig = params->block<BlockType::Awb>(); + awbConfig.setEnabled(true); /* Configure the measure window for AWB. */ - awb_config.awb_wnd = context.configuration.awb.measureWindow; + awbConfig->awb_wnd = context.configuration.awb.measureWindow; /* Number of frames to use to estimate the means (0 means 1 frame). */ - awb_config.frames = 0; + awbConfig->frames = 0; /* Select RGB or YCbCr means measurement. */ if (rgbMode_) { - awb_config.awb_mode = RKISP1_CIF_ISP_AWB_MODE_RGB; + awbConfig->awb_mode = RKISP1_CIF_ISP_AWB_MODE_RGB; /* * For RGB-based measurements, pixels are selected with maximum @@ -154,19 +243,19 @@ void Awb::prepare(IPAContext &context, const uint32_t frame, * awb_ref_cr, awb_min_y and awb_ref_cb respectively. The other * values are not used, set them to 0. */ - awb_config.awb_ref_cr = 250; - awb_config.min_y = 250; - awb_config.awb_ref_cb = 250; + awbConfig->awb_ref_cr = 250; + awbConfig->min_y = 250; + awbConfig->awb_ref_cb = 250; - awb_config.max_y = 0; - awb_config.min_c = 0; - awb_config.max_csum = 0; + awbConfig->max_y = 0; + awbConfig->min_c = 0; + awbConfig->max_csum = 0; } else { - awb_config.awb_mode = RKISP1_CIF_ISP_AWB_MODE_YCBCR; + awbConfig->awb_mode = RKISP1_CIF_ISP_AWB_MODE_YCBCR; /* Set the reference Cr and Cb (AWB target) to white. */ - awb_config.awb_ref_cb = 128; - awb_config.awb_ref_cr = 128; + awbConfig->awb_ref_cb = 128; + awbConfig->awb_ref_cr = 128; /* * Filter out pixels based on luminance and chrominance values. @@ -174,36 +263,11 @@ void Awb::prepare(IPAContext &context, const uint32_t frame, * range, while the acceptable chroma values are specified with * a minimum of 16 and a maximum Cb+Cr sum of 250. */ - awb_config.min_y = 16; - awb_config.max_y = 250; - awb_config.min_c = 16; - awb_config.max_csum = 250; + awbConfig->min_y = 16; + awbConfig->max_y = 250; + awbConfig->min_c = 16; + awbConfig->max_csum = 250; } - - /* Enable the AWB gains. */ - params->module_en_update |= RKISP1_CIF_ISP_MODULE_AWB_GAIN; - params->module_ens |= RKISP1_CIF_ISP_MODULE_AWB_GAIN; - - /* Update the AWB measurement parameters and enable the AWB module. */ - params->module_cfg_update |= RKISP1_CIF_ISP_MODULE_AWB; - params->module_en_update |= RKISP1_CIF_ISP_MODULE_AWB; - params->module_ens |= RKISP1_CIF_ISP_MODULE_AWB; -} - -uint32_t Awb::estimateCCT(double red, double green, double blue) -{ - /* Convert the RGB values to CIE tristimulus values (XYZ) */ - double X = (-0.14282) * (red) + (1.54924) * (green) + (-0.95641) * (blue); - double Y = (-0.32466) * (red) + (1.57837) * (green) + (-0.73191) * (blue); - double Z = (-0.68202) * (red) + (0.77073) * (green) + (0.56332) * (blue); - - /* Calculate the normalized chromaticity values */ - double x = X / (X + Y + Z); - double y = Y / (X + Y + Z); - - /* Calculate CCT */ - double n = (x - 0.3320) / (0.1858 - y); - return 449 * n * n * n + 3525 * n * n + 6823.3 * n + 5520.33; } /** @@ -215,47 +279,108 @@ void Awb::process(IPAContext &context, const rkisp1_stat_buffer *stats, ControlList &metadata) { - const rkisp1_cif_isp_stat *params = &stats->params; - const rkisp1_cif_isp_awb_stat *awb = ¶ms->awb; IPAActiveState &activeState = context.activeState; - double greenMean; - double redMean; - double blueMean; metadata.set(controls::AwbEnable, frameContext.awb.autoEnabled); metadata.set(controls::ColourGains, { - static_cast<float>(frameContext.awb.gains.red), - static_cast<float>(frameContext.awb.gains.blue) + static_cast<float>(frameContext.awb.gains.r()), + static_cast<float>(frameContext.awb.gains.b()) }); + metadata.set(controls::ColourTemperature, frameContext.awb.temperatureK); + + if (!stats || !(stats->meas_type & RKISP1_CIF_ISP_STAT_AWB)) { + LOG(RkISP1Awb, Error) << "AWB data is missing in statistics"; + return; + } + + const rkisp1_cif_isp_stat *params = &stats->params; + const rkisp1_cif_isp_awb_stat *awb = ¶ms->awb; + + RGB<double> rgbMeans = calculateRgbMeans(frameContext, awb); + + /* + * If the means are too small we don't have enough information to + * meaningfully calculate gains. Freeze the algorithm in that case. + */ + if (rgbMeans.r() < kMeanMinThreshold && rgbMeans.g() < kMeanMinThreshold && + rgbMeans.b() < kMeanMinThreshold) + return; + + RkISP1AwbStats awbStats{ rgbMeans }; + AwbResult awbResult = awbAlgo_->calculateAwb(awbStats, frameContext.lux.lux); + + activeState.awb.temperatureK = awbResult.colourTemperature; + + /* Metadata shall contain the up to date measurement */ + metadata.set(controls::ColourTemperature, activeState.awb.temperatureK); + + /* + * Clamp the gain values to the hardware, which expresses gains as Q2.8 + * unsigned integer values. Set the minimum just above zero to avoid + * divisions by zero when computing the raw means in subsequent + * iterations. + */ + awbResult.gains = awbResult.gains.max(1.0 / 256).min(1023.0 / 256); + + /* Filter the values to avoid oscillations. */ + double speed = 0.2; + awbResult.gains = awbResult.gains * speed + + activeState.awb.gains.automatic * (1 - speed); + + activeState.awb.gains.automatic = awbResult.gains; + + LOG(RkISP1Awb, Debug) + << std::showpoint + << "Means " << rgbMeans << ", gains " + << activeState.awb.gains.automatic << ", temp " + << activeState.awb.temperatureK << "K"; +} + +RGB<double> Awb::calculateRgbMeans(const IPAFrameContext &frameContext, const rkisp1_cif_isp_awb_stat *awb) const +{ + Vector<double, 3> rgbMeans; if (rgbMode_) { - greenMean = awb->awb_mean[0].mean_y_or_g; - redMean = awb->awb_mean[0].mean_cr_or_r; - blueMean = awb->awb_mean[0].mean_cb_or_b; + rgbMeans = {{ + static_cast<double>(awb->awb_mean[0].mean_cr_or_r), + static_cast<double>(awb->awb_mean[0].mean_y_or_g), + static_cast<double>(awb->awb_mean[0].mean_cb_or_b) + }}; } else { /* Get the YCbCr mean values */ - double yMean = awb->awb_mean[0].mean_y_or_g; - double cbMean = awb->awb_mean[0].mean_cb_or_b; - double crMean = awb->awb_mean[0].mean_cr_or_r; + Vector<double, 3> yuvMeans({ + static_cast<double>(awb->awb_mean[0].mean_y_or_g), + static_cast<double>(awb->awb_mean[0].mean_cb_or_b), + static_cast<double>(awb->awb_mean[0].mean_cr_or_r) + }); /* - * Convert from YCbCr to RGB. - * The hardware uses the following formulas: - * Y = 16 + 0.2500 R + 0.5000 G + 0.1094 B + * Convert from YCbCr to RGB. The hardware uses the following + * formulas: + * + * Y = 16 + 0.2500 R + 0.5000 G + 0.1094 B * Cb = 128 - 0.1406 R - 0.2969 G + 0.4375 B * Cr = 128 + 0.4375 R - 0.3750 G - 0.0625 B * - * The inverse matrix is thus: + * This seems to be based on limited range BT.601 with Q1.6 + * precision. + * + * The inverse matrix is: + * * [[1,1636, -0,0623, 1,6008] * [1,1636, -0,4045, -0,7949] * [1,1636, 1,9912, -0,0250]] */ - yMean -= 16; - cbMean -= 128; - crMean -= 128; - redMean = 1.1636 * yMean - 0.0623 * cbMean + 1.6008 * crMean; - greenMean = 1.1636 * yMean - 0.4045 * cbMean - 0.7949 * crMean; - blueMean = 1.1636 * yMean + 1.9912 * cbMean - 0.0250 * crMean; + static const Matrix<double, 3, 3> yuv2rgbMatrix({ + 1.1636, -0.0623, 1.6008, + 1.1636, -0.4045, -0.7949, + 1.1636, 1.9912, -0.0250 + }); + static const Vector<double, 3> yuv2rgbOffset({ + 16, 128, 128 + }); + + rgbMeans = yuv2rgbMatrix * (yuvMeans - yuv2rgbOffset); /* * Due to hardware rounding errors in the YCbCr means, the @@ -263,9 +388,7 @@ void Awb::process(IPAContext &context, * negative gains, messing up calculation. Prevent this by * clamping the means to positive values. */ - redMean = std::max(redMean, 0.0); - greenMean = std::max(greenMean, 0.0); - blueMean = std::max(blueMean, 0.0); + rgbMeans = rgbMeans.max(0.0); } /* @@ -273,57 +396,9 @@ void Awb::process(IPAContext &context, * divide by the gains that were used to get the raw means from the * sensor. */ - redMean /= frameContext.awb.gains.red; - greenMean /= frameContext.awb.gains.green; - blueMean /= frameContext.awb.gains.blue; - - /* - * If the means are too small we don't have enough information to - * meaningfully calculate gains. Freeze the algorithm in that case. - */ - if (redMean < kMeanMinThreshold && greenMean < kMeanMinThreshold && - blueMean < kMeanMinThreshold) { - metadata.set(controls::ColourTemperature, activeState.awb.temperatureK); - return; - } - - activeState.awb.temperatureK = estimateCCT(redMean, greenMean, blueMean); - - /* Metadata shall contain the up to date measurement */ - metadata.set(controls::ColourTemperature, activeState.awb.temperatureK); + rgbMeans /= frameContext.awb.gains; - /* - * Estimate the red and blue gains to apply in a grey world. The green - * gain is hardcoded to 1.0. Avoid divisions by zero by clamping the - * divisor to a minimum value of 1.0. - */ - double redGain = greenMean / std::max(redMean, 1.0); - double blueGain = greenMean / std::max(blueMean, 1.0); - - /* - * Clamp the gain values to the hardware, which expresses gains as Q2.8 - * unsigned integer values. Set the minimum just above zero to avoid - * divisions by zero when computing the raw means in subsequent - * iterations. - */ - redGain = std::clamp(redGain, 1.0 / 256, 1023.0 / 256); - blueGain = std::clamp(blueGain, 1.0 / 256, 1023.0 / 256); - - /* Filter the values to avoid oscillations. */ - double speed = 0.2; - redGain = speed * redGain + (1 - speed) * activeState.awb.gains.automatic.red; - blueGain = speed * blueGain + (1 - speed) * activeState.awb.gains.automatic.blue; - - activeState.awb.gains.automatic.red = redGain; - activeState.awb.gains.automatic.blue = blueGain; - activeState.awb.gains.automatic.green = 1.0; - - LOG(RkISP1Awb, Debug) << std::showpoint - << "Means [" << redMean << ", " << greenMean << ", " << blueMean - << "], gains [" << activeState.awb.gains.automatic.red << ", " - << activeState.awb.gains.automatic.green << ", " - << activeState.awb.gains.automatic.blue << "], temp " - << activeState.awb.temperatureK << "K"; + return rgbMeans; } REGISTER_IPA_ALGORITHM(Awb, "Awb") diff --git a/src/ipa/rkisp1/algorithms/awb.h b/src/ipa/rkisp1/algorithms/awb.h index 06c92896..7e6c3862 100644 --- a/src/ipa/rkisp1/algorithms/awb.h +++ b/src/ipa/rkisp1/algorithms/awb.h @@ -7,6 +7,13 @@ #pragma once +#include <optional> + +#include "libcamera/internal/vector.h" + +#include "libipa/awb.h" +#include "libipa/interpolator.h" + #include "algorithm.h" namespace libcamera { @@ -19,20 +26,24 @@ public: Awb(); ~Awb() = default; + int init(IPAContext &context, const YamlObject &tuningData) override; int configure(IPAContext &context, const IPACameraSensorInfo &configInfo) override; void queueRequest(IPAContext &context, const uint32_t frame, IPAFrameContext &frameContext, const ControlList &controls) override; void prepare(IPAContext &context, const uint32_t frame, IPAFrameContext &frameContext, - rkisp1_params_cfg *params) override; + RkISP1Params *params) override; void process(IPAContext &context, const uint32_t frame, IPAFrameContext &frameContext, const rkisp1_stat_buffer *stats, ControlList &metadata) override; private: - uint32_t estimateCCT(double red, double green, double blue); + RGB<double> calculateRgbMeans(const IPAFrameContext &frameContext, + const rkisp1_cif_isp_awb_stat *awb) const; + + std::unique_ptr<AwbAlgorithm> awbAlgo_; bool rgbMode_; }; diff --git a/src/ipa/rkisp1/algorithms/blc.cpp b/src/ipa/rkisp1/algorithms/blc.cpp index 871dd204..98cb7145 100644 --- a/src/ipa/rkisp1/algorithms/blc.cpp +++ b/src/ipa/rkisp1/algorithms/blc.cpp @@ -7,6 +7,8 @@ #include "blc.h" +#include <linux/videodev2.h> + #include <libcamera/base/log.h> #include <libcamera/control_ids.h> @@ -38,7 +40,6 @@ namespace ipa::rkisp1::algorithms { LOG_DEFINE_CATEGORY(RkISP1Blc) BlackLevelCorrection::BlackLevelCorrection() - : tuningParameters_(false) { /* * This is a bit of a hack. In raw mode no black level correction @@ -96,8 +97,6 @@ int BlackLevelCorrection::init(IPAContext &context, const YamlObject &tuningData blackLevelBlue_ = *blackLevel; } - tuningParameters_ = true; - LOG(RkISP1Blc, Debug) << "Black levels: red " << blackLevelRed_ << ", green (red) " << blackLevelGreenR_ @@ -107,13 +106,30 @@ int BlackLevelCorrection::init(IPAContext &context, const YamlObject &tuningData return 0; } +int BlackLevelCorrection::configure(IPAContext &context, + [[maybe_unused]] const IPACameraSensorInfo &configInfo) +{ + /* + * BLC on ISP versions that include the companding block requires usage + * of the extensible parameters format. + */ + supported_ = context.configuration.paramFormat == V4L2_META_FMT_RK_ISP1_EXT_PARAMS || + !context.hw->compand; + + if (!supported_) + LOG(RkISP1Blc, Warning) + << "BLC in companding block requires extensible parameters"; + + return 0; +} + /** * \copydoc libcamera::ipa::Algorithm::prepare */ -void BlackLevelCorrection::prepare([[maybe_unused]] IPAContext &context, +void BlackLevelCorrection::prepare(IPAContext &context, const uint32_t frame, [[maybe_unused]] IPAFrameContext &frameContext, - rkisp1_params_cfg *params) + RkISP1Params *params) { if (context.configuration.raw) return; @@ -121,19 +137,33 @@ void BlackLevelCorrection::prepare([[maybe_unused]] IPAContext &context, if (frame > 0) return; - if (!tuningParameters_) + if (!supported_) return; - params->others.bls_config.enable_auto = 0; - /* The rkisp1 uses 12bit based black levels. Scale down accordingly. */ - params->others.bls_config.fixed_val.r = blackLevelRed_ >> 4; - params->others.bls_config.fixed_val.gr = blackLevelGreenR_ >> 4; - params->others.bls_config.fixed_val.gb = blackLevelGreenB_ >> 4; - params->others.bls_config.fixed_val.b = blackLevelBlue_ >> 4; + if (context.hw->compand) { + auto config = params->block<BlockType::CompandBls>(); + config.setEnabled(true); + + /* + * Scale up to the 20-bit black levels used by the companding + * block. + */ + config->r = blackLevelRed_ << 4; + config->gr = blackLevelGreenR_ << 4; + config->gb = blackLevelGreenB_ << 4; + config->b = blackLevelBlue_ << 4; + } else { + auto config = params->block<BlockType::Bls>(); + config.setEnabled(true); + + config->enable_auto = 0; - params->module_en_update |= RKISP1_CIF_ISP_MODULE_BLS; - params->module_ens |= RKISP1_CIF_ISP_MODULE_BLS; - params->module_cfg_update |= RKISP1_CIF_ISP_MODULE_BLS; + /* Scale down to the 12-bit black levels used by the BLS block. */ + config->fixed_val.r = blackLevelRed_ >> 4; + config->fixed_val.gr = blackLevelGreenR_ >> 4; + config->fixed_val.gb = blackLevelGreenB_ >> 4; + config->fixed_val.b = blackLevelBlue_ >> 4; + } } /** diff --git a/src/ipa/rkisp1/algorithms/blc.h b/src/ipa/rkisp1/algorithms/blc.h index 4ecac233..f797ae44 100644 --- a/src/ipa/rkisp1/algorithms/blc.h +++ b/src/ipa/rkisp1/algorithms/blc.h @@ -20,15 +20,19 @@ public: ~BlackLevelCorrection() = default; int init(IPAContext &context, const YamlObject &tuningData) override; + int configure(IPAContext &context, + const IPACameraSensorInfo &configInfo) override; void prepare(IPAContext &context, const uint32_t frame, IPAFrameContext &frameContext, - rkisp1_params_cfg *params) override; + RkISP1Params *params) override; void process(IPAContext &context, const uint32_t frame, IPAFrameContext &frameContext, const rkisp1_stat_buffer *stats, ControlList &metadata) override; + private: - bool tuningParameters_; + bool supported_; + int16_t blackLevelRed_; int16_t blackLevelGreenR_; int16_t blackLevelGreenB_; diff --git a/src/ipa/rkisp1/algorithms/ccm.cpp b/src/ipa/rkisp1/algorithms/ccm.cpp index fe7246f8..eb8ca39e 100644 --- a/src/ipa/rkisp1/algorithms/ccm.cpp +++ b/src/ipa/rkisp1/algorithms/ccm.cpp @@ -7,11 +7,7 @@ #include "ccm.h" -#include <algorithm> -#include <chrono> -#include <cmath> -#include <tuple> -#include <vector> +#include <map> #include <libcamera/base/log.h> #include <libcamera/base/utils.h> @@ -22,8 +18,8 @@ #include "libcamera/internal/yaml_parser.h" -#include "../utils.h" -#include "libipa/matrix_interpolator.h" +#include "libipa/fixedpoint.h" +#include "libipa/interpolator.h" /** * \file ccm.h @@ -50,7 +46,7 @@ int Ccm::init([[maybe_unused]] IPAContext &context, const YamlObject &tuningData LOG(RkISP1Ccm, Warning) << "Failed to parse 'ccm' " << "parameter from tuning file; falling back to unit matrix"; - ccm_.reset(); + ccm_.setData({ { 0, Matrix<float, 3, 3>::identity() } }); } ret = offsets_.readYaml(tuningData["ccms"], "ct", "offsets"); @@ -58,25 +54,17 @@ int Ccm::init([[maybe_unused]] IPAContext &context, const YamlObject &tuningData LOG(RkISP1Ccm, Warning) << "Failed to parse 'offsets' " << "parameter from tuning file; falling back to zero offsets"; - /* - * MatrixInterpolator::reset() resets to identity matrices - * while here we need zero matrices so we need to construct it - * ourselves. - */ - Matrix<int16_t, 3, 1> m({ 0, 0, 0 }); - std::map<unsigned int, Matrix<int16_t, 3, 1>> matrices = { { 0, m } }; - offsets_ = MatrixInterpolator<int16_t, 3, 1>(matrices); + + offsets_.setData({ { 0, Matrix<int16_t, 3, 1>({ 0, 0, 0 }) } }); } return 0; } -void Ccm::setParameters(rkisp1_params_cfg *params, +void Ccm::setParameters(struct rkisp1_cif_isp_ctk_config &config, const Matrix<float, 3, 3> &matrix, const Matrix<int16_t, 3, 1> &offsets) { - struct rkisp1_cif_isp_ctk_config &config = params->others.ctk_config; - /* * 4 bit integer and 7 bit fractional, ranging from -8 (0x400) to * +7.992 (0x3ff) @@ -84,7 +72,7 @@ void Ccm::setParameters(rkisp1_params_cfg *params, for (unsigned int i = 0; i < 3; i++) { for (unsigned int j = 0; j < 3; j++) config.coeff[i][j] = - utils::floatingToFixedPoint<4, 7, uint16_t, double>(matrix[i][j]); + floatingToFixedPoint<4, 7, uint16_t, double>(matrix[i][j]); } for (unsigned int i = 0; i < 3; i++) @@ -92,18 +80,13 @@ void Ccm::setParameters(rkisp1_params_cfg *params, LOG(RkISP1Ccm, Debug) << "Setting matrix " << matrix; LOG(RkISP1Ccm, Debug) << "Setting offsets " << offsets; - - params->module_en_update |= RKISP1_CIF_ISP_MODULE_CTK; - params->module_ens |= RKISP1_CIF_ISP_MODULE_CTK; - params->module_cfg_update |= RKISP1_CIF_ISP_MODULE_CTK; } /** * \copydoc libcamera::ipa::Algorithm::prepare */ void Ccm::prepare(IPAContext &context, const uint32_t frame, - IPAFrameContext &frameContext, - rkisp1_params_cfg *params) + IPAFrameContext &frameContext, RkISP1Params *params) { uint32_t ct = context.activeState.awb.temperatureK; @@ -117,13 +100,15 @@ void Ccm::prepare(IPAContext &context, const uint32_t frame, } ct_ = ct; - Matrix<float, 3, 3> ccm = ccm_.get(ct); - Matrix<int16_t, 3, 1> offsets = offsets_.get(ct); + Matrix<float, 3, 3> ccm = ccm_.getInterpolated(ct); + Matrix<int16_t, 3, 1> offsets = offsets_.getInterpolated(ct); context.activeState.ccm.ccm = ccm; frameContext.ccm.ccm = ccm; - setParameters(params, ccm, offsets); + auto config = params->block<BlockType::Ctk>(); + config.setEnabled(true); + setParameters(*config, ccm, offsets); } /** @@ -135,12 +120,7 @@ void Ccm::process([[maybe_unused]] IPAContext &context, [[maybe_unused]] const rkisp1_stat_buffer *stats, ControlList &metadata) { - float m[9]; - for (unsigned int i = 0; i < 3; i++) { - for (unsigned int j = 0; j < 3; j++) - m[i * 3 + j] = frameContext.ccm.ccm[i][j]; - } - metadata.set(controls::ColourCorrectionMatrix, m); + metadata.set(controls::ColourCorrectionMatrix, frameContext.ccm.ccm.data()); } REGISTER_IPA_ALGORITHM(Ccm, "Ccm") diff --git a/src/ipa/rkisp1/algorithms/ccm.h b/src/ipa/rkisp1/algorithms/ccm.h index 30cb8821..a5d9a9a4 100644 --- a/src/ipa/rkisp1/algorithms/ccm.h +++ b/src/ipa/rkisp1/algorithms/ccm.h @@ -9,8 +9,9 @@ #include <linux/rkisp1-config.h> -#include "libipa/matrix.h" -#include "libipa/matrix_interpolator.h" +#include "libcamera/internal/matrix.h" + +#include "libipa/interpolator.h" #include "algorithm.h" @@ -27,7 +28,7 @@ public: int init(IPAContext &context, const YamlObject &tuningData) override; void prepare(IPAContext &context, const uint32_t frame, IPAFrameContext &frameContext, - rkisp1_params_cfg *params) override; + RkISP1Params *params) override; void process(IPAContext &context, const uint32_t frame, IPAFrameContext &frameContext, const rkisp1_stat_buffer *stats, @@ -35,13 +36,13 @@ public: private: void parseYaml(const YamlObject &tuningData); - void setParameters(rkisp1_params_cfg *params, + void setParameters(struct rkisp1_cif_isp_ctk_config &config, const Matrix<float, 3, 3> &matrix, const Matrix<int16_t, 3, 1> &offsets); unsigned int ct_; - MatrixInterpolator<float, 3, 3> ccm_; - MatrixInterpolator<int16_t, 3, 1> offsets_; + Interpolator<Matrix<float, 3, 3>> ccm_; + Interpolator<Matrix<int16_t, 3, 1>> offsets_; }; } /* namespace ipa::rkisp1::algorithms */ diff --git a/src/ipa/rkisp1/algorithms/cproc.cpp b/src/ipa/rkisp1/algorithms/cproc.cpp index ef0931b2..d1fff699 100644 --- a/src/ipa/rkisp1/algorithms/cproc.cpp +++ b/src/ipa/rkisp1/algorithms/cproc.cpp @@ -140,19 +140,17 @@ void ColorProcessing::queueRequest(IPAContext &context, void ColorProcessing::prepare([[maybe_unused]] IPAContext &context, [[maybe_unused]] const uint32_t frame, IPAFrameContext &frameContext, - rkisp1_params_cfg *params) + RkISP1Params *params) { /* Check if the algorithm configuration has been updated. */ if (!frameContext.cproc.update) return; - params->others.cproc_config.brightness = frameContext.cproc.brightness; - params->others.cproc_config.contrast = frameContext.cproc.contrast; - params->others.cproc_config.sat = frameContext.cproc.saturation; - - params->module_en_update |= RKISP1_CIF_ISP_MODULE_CPROC; - params->module_ens |= RKISP1_CIF_ISP_MODULE_CPROC; - params->module_cfg_update |= RKISP1_CIF_ISP_MODULE_CPROC; + auto config = params->block<BlockType::Cproc>(); + config.setEnabled(true); + config->brightness = frameContext.cproc.brightness; + config->contrast = frameContext.cproc.contrast; + config->sat = frameContext.cproc.saturation; } REGISTER_IPA_ALGORITHM(ColorProcessing, "ColorProcessing") diff --git a/src/ipa/rkisp1/algorithms/cproc.h b/src/ipa/rkisp1/algorithms/cproc.h index e50e7200..fd38fd17 100644 --- a/src/ipa/rkisp1/algorithms/cproc.h +++ b/src/ipa/rkisp1/algorithms/cproc.h @@ -29,7 +29,7 @@ public: const ControlList &controls) override; void prepare(IPAContext &context, const uint32_t frame, IPAFrameContext &frameContext, - rkisp1_params_cfg *params) override; + RkISP1Params *params) override; }; } /* namespace ipa::rkisp1::algorithms */ diff --git a/src/ipa/rkisp1/algorithms/dpcc.cpp b/src/ipa/rkisp1/algorithms/dpcc.cpp index b5a339e9..78946281 100644 --- a/src/ipa/rkisp1/algorithms/dpcc.cpp +++ b/src/ipa/rkisp1/algorithms/dpcc.cpp @@ -232,16 +232,14 @@ int DefectPixelClusterCorrection::init([[maybe_unused]] IPAContext &context, void DefectPixelClusterCorrection::prepare([[maybe_unused]] IPAContext &context, const uint32_t frame, [[maybe_unused]] IPAFrameContext &frameContext, - rkisp1_params_cfg *params) + RkISP1Params *params) { if (frame > 0) return; - params->others.dpcc_config = config_; - - params->module_en_update |= RKISP1_CIF_ISP_MODULE_DPCC; - params->module_ens |= RKISP1_CIF_ISP_MODULE_DPCC; - params->module_cfg_update |= RKISP1_CIF_ISP_MODULE_DPCC; + auto config = params->block<BlockType::Dpcc>(); + config.setEnabled(true); + *config = config_; } REGISTER_IPA_ALGORITHM(DefectPixelClusterCorrection, "DefectPixelClusterCorrection") diff --git a/src/ipa/rkisp1/algorithms/dpcc.h b/src/ipa/rkisp1/algorithms/dpcc.h index d39b7bed..b77766c3 100644 --- a/src/ipa/rkisp1/algorithms/dpcc.h +++ b/src/ipa/rkisp1/algorithms/dpcc.h @@ -22,7 +22,7 @@ public: int init(IPAContext &context, const YamlObject &tuningData) override; void prepare(IPAContext &context, const uint32_t frame, IPAFrameContext &frameContext, - rkisp1_params_cfg *params) override; + RkISP1Params *params) override; private: rkisp1_cif_isp_dpcc_config config_; diff --git a/src/ipa/rkisp1/algorithms/dpf.cpp b/src/ipa/rkisp1/algorithms/dpf.cpp index abf95728..cb6095da 100644 --- a/src/ipa/rkisp1/algorithms/dpf.cpp +++ b/src/ipa/rkisp1/algorithms/dpf.cpp @@ -7,7 +7,9 @@ #include "dpf.h" -#include <cmath> +#include <algorithm> +#include <string> +#include <vector> #include <libcamera/base/log.h> @@ -215,15 +217,21 @@ void Dpf::queueRequest(IPAContext &context, * \copydoc libcamera::ipa::Algorithm::prepare */ void Dpf::prepare(IPAContext &context, const uint32_t frame, - IPAFrameContext &frameContext, rkisp1_params_cfg *params) + IPAFrameContext &frameContext, RkISP1Params *params) { - if (frame == 0) { - params->others.dpf_config = config_; - params->others.dpf_strength_config = strengthConfig_; + if (!frameContext.dpf.update && frame > 0) + return; + + auto config = params->block<BlockType::Dpf>(); + config.setEnabled(frameContext.dpf.denoise); + + if (frameContext.dpf.denoise) { + *config = config_; const auto &awb = context.configuration.awb; const auto &lsc = context.configuration.lsc; - auto &mode = params->others.dpf_config.gain.mode; + + auto &mode = config->gain.mode; /* * The DPF needs to take into account the total amount of @@ -241,15 +249,12 @@ void Dpf::prepare(IPAContext &context, const uint32_t frame, mode = RKISP1_CIF_ISP_DPF_GAIN_USAGE_LSC_GAINS; else mode = RKISP1_CIF_ISP_DPF_GAIN_USAGE_DISABLED; - - params->module_cfg_update |= RKISP1_CIF_ISP_MODULE_DPF | - RKISP1_CIF_ISP_MODULE_DPF_STRENGTH; } - if (frameContext.dpf.update) { - params->module_en_update |= RKISP1_CIF_ISP_MODULE_DPF; - if (frameContext.dpf.denoise) - params->module_ens |= RKISP1_CIF_ISP_MODULE_DPF; + if (frame == 0) { + auto strengthConfig = params->block<BlockType::DpfStrength>(); + strengthConfig.setEnabled(true); + *strengthConfig = strengthConfig_; } } diff --git a/src/ipa/rkisp1/algorithms/dpf.h b/src/ipa/rkisp1/algorithms/dpf.h index da0115ba..2dd8cd36 100644 --- a/src/ipa/rkisp1/algorithms/dpf.h +++ b/src/ipa/rkisp1/algorithms/dpf.h @@ -27,7 +27,7 @@ public: const ControlList &controls) override; void prepare(IPAContext &context, const uint32_t frame, IPAFrameContext &frameContext, - rkisp1_params_cfg *params) override; + RkISP1Params *params) override; private: struct rkisp1_cif_isp_dpf_config config_; diff --git a/src/ipa/rkisp1/algorithms/filter.cpp b/src/ipa/rkisp1/algorithms/filter.cpp index 9752248a..7598ef8a 100644 --- a/src/ipa/rkisp1/algorithms/filter.cpp +++ b/src/ipa/rkisp1/algorithms/filter.cpp @@ -104,7 +104,7 @@ void Filter::queueRequest(IPAContext &context, */ void Filter::prepare([[maybe_unused]] IPAContext &context, [[maybe_unused]] const uint32_t frame, - IPAFrameContext &frameContext, rkisp1_params_cfg *params) + IPAFrameContext &frameContext, RkISP1Params *params) { /* Check if the algorithm configuration has been updated. */ if (!frameContext.filter.update) @@ -160,23 +160,25 @@ void Filter::prepare([[maybe_unused]] IPAContext &context, uint8_t denoise = frameContext.filter.denoise; uint8_t sharpness = frameContext.filter.sharpness; - auto &flt_config = params->others.flt_config; - - flt_config.fac_sh0 = filt_fac_sh0[sharpness]; - flt_config.fac_sh1 = filt_fac_sh1[sharpness]; - flt_config.fac_mid = filt_fac_mid[sharpness]; - flt_config.fac_bl0 = filt_fac_bl0[sharpness]; - flt_config.fac_bl1 = filt_fac_bl1[sharpness]; - - flt_config.lum_weight = kFiltLumWeightDefault; - flt_config.mode = kFiltModeDefault; - flt_config.thresh_sh0 = filt_thresh_sh0[denoise]; - flt_config.thresh_sh1 = filt_thresh_sh1[denoise]; - flt_config.thresh_bl0 = filt_thresh_bl0[denoise]; - flt_config.thresh_bl1 = filt_thresh_bl1[denoise]; - flt_config.grn_stage1 = stage1_select[denoise]; - flt_config.chr_v_mode = filt_chr_v_mode[denoise]; - flt_config.chr_h_mode = filt_chr_h_mode[denoise]; + + auto config = params->block<BlockType::Flt>(); + config.setEnabled(true); + + config->fac_sh0 = filt_fac_sh0[sharpness]; + config->fac_sh1 = filt_fac_sh1[sharpness]; + config->fac_mid = filt_fac_mid[sharpness]; + config->fac_bl0 = filt_fac_bl0[sharpness]; + config->fac_bl1 = filt_fac_bl1[sharpness]; + + config->lum_weight = kFiltLumWeightDefault; + config->mode = kFiltModeDefault; + config->thresh_sh0 = filt_thresh_sh0[denoise]; + config->thresh_sh1 = filt_thresh_sh1[denoise]; + config->thresh_bl0 = filt_thresh_bl0[denoise]; + config->thresh_bl1 = filt_thresh_bl1[denoise]; + config->grn_stage1 = stage1_select[denoise]; + config->chr_v_mode = filt_chr_v_mode[denoise]; + config->chr_h_mode = filt_chr_h_mode[denoise]; /* * Combined high denoising and high sharpening requires some @@ -186,27 +188,23 @@ void Filter::prepare([[maybe_unused]] IPAContext &context, */ if (denoise == 9) { if (sharpness > 3) - flt_config.grn_stage1 = 2; + config->grn_stage1 = 2; } else if (denoise == 10) { if (sharpness > 5) - flt_config.grn_stage1 = 2; + config->grn_stage1 = 2; else if (sharpness > 3) - flt_config.grn_stage1 = 1; + config->grn_stage1 = 1; } if (denoise > 7) { if (sharpness > 7) { - flt_config.fac_bl0 /= 2; - flt_config.fac_bl1 /= 4; + config->fac_bl0 /= 2; + config->fac_bl1 /= 4; } else if (sharpness > 4) { - flt_config.fac_bl0 = flt_config.fac_bl0 * 3 / 4; - flt_config.fac_bl1 /= 2; + config->fac_bl0 = config->fac_bl0 * 3 / 4; + config->fac_bl1 /= 2; } } - - params->module_en_update |= RKISP1_CIF_ISP_MODULE_FLT; - params->module_ens |= RKISP1_CIF_ISP_MODULE_FLT; - params->module_cfg_update |= RKISP1_CIF_ISP_MODULE_FLT; } REGISTER_IPA_ALGORITHM(Filter, "Filter") diff --git a/src/ipa/rkisp1/algorithms/filter.h b/src/ipa/rkisp1/algorithms/filter.h index d595811d..8f858e57 100644 --- a/src/ipa/rkisp1/algorithms/filter.h +++ b/src/ipa/rkisp1/algorithms/filter.h @@ -26,7 +26,7 @@ public: const ControlList &controls) override; void prepare(IPAContext &context, const uint32_t frame, IPAFrameContext &frameContext, - rkisp1_params_cfg *params) override; + RkISP1Params *params) override; }; } /* namespace ipa::rkisp1::algorithms */ diff --git a/src/ipa/rkisp1/algorithms/goc.cpp b/src/ipa/rkisp1/algorithms/goc.cpp index a82cee3b..a9493678 100644 --- a/src/ipa/rkisp1/algorithms/goc.cpp +++ b/src/ipa/rkisp1/algorithms/goc.cpp @@ -99,11 +99,14 @@ void GammaOutCorrection::queueRequest(IPAContext &context, const uint32_t frame, void GammaOutCorrection::prepare(IPAContext &context, [[maybe_unused]] const uint32_t frame, IPAFrameContext &frameContext, - rkisp1_params_cfg *params) + RkISP1Params *params) { ASSERT(context.hw->numGammaOutSamples == RKISP1_CIF_ISP_GAMMA_OUT_MAX_SAMPLES_V10); + if (!frameContext.goc.update) + return; + /* * The logarithmic segments as specified in the reference. * Plus an additional 0 to make the loop easier @@ -112,10 +115,11 @@ void GammaOutCorrection::prepare(IPAContext &context, 64, 64, 64, 64, 128, 128, 128, 128, 256, 256, 256, 512, 512, 512, 512, 512, 0 }; - __u16 *gamma_y = params->others.goc_config.gamma_y; - if (!frameContext.goc.update) - return; + auto config = params->block<BlockType::Goc>(); + config.setEnabled(true); + + __u16 *gamma_y = config->gamma_y; unsigned x = 0; for (const auto [i, size] : utils::enumerate(segments)) { @@ -123,10 +127,7 @@ void GammaOutCorrection::prepare(IPAContext &context, x += size; } - params->others.goc_config.mode = RKISP1_CIF_ISP_GOC_MODE_LOGARITHMIC; - params->module_cfg_update |= RKISP1_CIF_ISP_MODULE_GOC; - params->module_en_update |= RKISP1_CIF_ISP_MODULE_GOC; - params->module_ens |= RKISP1_CIF_ISP_MODULE_GOC; + config->mode = RKISP1_CIF_ISP_GOC_MODE_LOGARITHMIC; } /** diff --git a/src/ipa/rkisp1/algorithms/goc.h b/src/ipa/rkisp1/algorithms/goc.h index 0e05d7ce..bb2ddfc9 100644 --- a/src/ipa/rkisp1/algorithms/goc.h +++ b/src/ipa/rkisp1/algorithms/goc.h @@ -28,7 +28,7 @@ public: const ControlList &controls) override; void prepare(IPAContext &context, const uint32_t frame, IPAFrameContext &frameContext, - rkisp1_params_cfg *params) override; + RkISP1Params *params) override; void process(IPAContext &context, const uint32_t frame, IPAFrameContext &frameContext, const rkisp1_stat_buffer *stats, diff --git a/src/ipa/rkisp1/algorithms/gsl.cpp b/src/ipa/rkisp1/algorithms/gsl.cpp index 9b056c6e..9604c0ac 100644 --- a/src/ipa/rkisp1/algorithms/gsl.cpp +++ b/src/ipa/rkisp1/algorithms/gsl.cpp @@ -119,24 +119,20 @@ int GammaSensorLinearization::init([[maybe_unused]] IPAContext &context, void GammaSensorLinearization::prepare([[maybe_unused]] IPAContext &context, const uint32_t frame, [[maybe_unused]] IPAFrameContext &frameContext, - rkisp1_params_cfg *params) + RkISP1Params *params) { if (frame > 0) return; - params->others.sdg_config.xa_pnts.gamma_dx0 = gammaDx_[0]; - params->others.sdg_config.xa_pnts.gamma_dx1 = gammaDx_[1]; + auto config = params->block<BlockType::Sdg>(); + config.setEnabled(true); - std::copy(curveYr_.begin(), curveYr_.end(), - params->others.sdg_config.curve_r.gamma_y); - std::copy(curveYg_.begin(), curveYg_.end(), - params->others.sdg_config.curve_g.gamma_y); - std::copy(curveYb_.begin(), curveYb_.end(), - params->others.sdg_config.curve_b.gamma_y); + config->xa_pnts.gamma_dx0 = gammaDx_[0]; + config->xa_pnts.gamma_dx1 = gammaDx_[1]; - params->module_en_update |= RKISP1_CIF_ISP_MODULE_SDG; - params->module_ens |= RKISP1_CIF_ISP_MODULE_SDG; - params->module_cfg_update |= RKISP1_CIF_ISP_MODULE_SDG; + std::copy(curveYr_.begin(), curveYr_.end(), config->curve_r.gamma_y); + std::copy(curveYg_.begin(), curveYg_.end(), config->curve_g.gamma_y); + std::copy(curveYb_.begin(), curveYb_.end(), config->curve_b.gamma_y); } REGISTER_IPA_ALGORITHM(GammaSensorLinearization, "GammaSensorLinearization") diff --git a/src/ipa/rkisp1/algorithms/gsl.h b/src/ipa/rkisp1/algorithms/gsl.h index c404105e..91cf6efa 100644 --- a/src/ipa/rkisp1/algorithms/gsl.h +++ b/src/ipa/rkisp1/algorithms/gsl.h @@ -22,7 +22,7 @@ public: int init(IPAContext &context, const YamlObject &tuningData) override; void prepare(IPAContext &context, const uint32_t frame, IPAFrameContext &frameContext, - rkisp1_params_cfg *params) override; + RkISP1Params *params) override; private: uint32_t gammaDx_[2]; diff --git a/src/ipa/rkisp1/algorithms/lsc.cpp b/src/ipa/rkisp1/algorithms/lsc.cpp index 161183fc..e47aa2f0 100644 --- a/src/ipa/rkisp1/algorithms/lsc.cpp +++ b/src/ipa/rkisp1/algorithms/lsc.cpp @@ -16,6 +16,7 @@ #include "libcamera/internal/yaml_parser.h" +#include "libipa/lsc_polynomial.h" #include "linux/rkisp1-config.h" /** @@ -24,6 +25,36 @@ namespace libcamera { +namespace ipa { + +constexpr int kColourTemperatureChangeThreshhold = 10; + +template<typename T> +void interpolateVector(const std::vector<T> &a, const std::vector<T> &b, + std::vector<T> &dest, double lambda) +{ + assert(a.size() == b.size()); + dest.resize(a.size()); + for (size_t i = 0; i < a.size(); i++) { + dest[i] = a[i] * (1.0 - lambda) + b[i] * lambda; + } +} + +template<> +void Interpolator<rkisp1::algorithms::LensShadingCorrection::Components>:: + interpolate(const rkisp1::algorithms::LensShadingCorrection::Components &a, + const rkisp1::algorithms::LensShadingCorrection::Components &b, + rkisp1::algorithms::LensShadingCorrection::Components &dest, + double lambda) +{ + interpolateVector(a.r, b.r, dest.r, lambda); + interpolateVector(a.gr, b.gr, dest.gr, lambda); + interpolateVector(a.gb, b.gb, dest.gb, lambda); + interpolateVector(a.b, b.b, dest.b, lambda); +} + +} /* namespace ipa */ + namespace ipa::rkisp1::algorithms { /** @@ -40,6 +71,200 @@ namespace ipa::rkisp1::algorithms { LOG_DEFINE_CATEGORY(RkISP1Lsc) +class LscPolynomialLoader +{ +public: + LscPolynomialLoader(const Size &sensorSize, + const Rectangle &cropRectangle, + const std::vector<double> &xSizes, + const std::vector<double> &ySizes) + : sensorSize_(sensorSize), + cropRectangle_(cropRectangle), + xSizes_(xSizes), + ySizes_(ySizes) + { + } + + int parseLscData(const YamlObject &yamlSets, + std::map<unsigned int, LensShadingCorrection::Components> &lscData) + { + const auto &sets = yamlSets.asList(); + for (const auto &yamlSet : sets) { + std::optional<LscPolynomial> pr, pgr, pgb, pb; + uint32_t ct = yamlSet["ct"].get<uint32_t>(0); + + if (lscData.count(ct)) { + LOG(RkISP1Lsc, Error) + << "Multiple sets found for " + << "color temperature " << ct; + return -EINVAL; + } + + LensShadingCorrection::Components &set = lscData[ct]; + pr = yamlSet["r"].get<LscPolynomial>(); + pgr = yamlSet["gr"].get<LscPolynomial>(); + pgb = yamlSet["gb"].get<LscPolynomial>(); + pb = yamlSet["b"].get<LscPolynomial>(); + + if (!(pr || pgr || pgb || pb)) { + LOG(RkISP1Lsc, Error) + << "Failed to parse polynomial for " + << "colour temperature " << ct; + return -EINVAL; + } + + set.ct = ct; + pr->setReferenceImageSize(sensorSize_); + pgr->setReferenceImageSize(sensorSize_); + pgb->setReferenceImageSize(sensorSize_); + pb->setReferenceImageSize(sensorSize_); + set.r = samplePolynomial(*pr); + set.gr = samplePolynomial(*pgr); + set.gb = samplePolynomial(*pgb); + set.b = samplePolynomial(*pb); + } + + if (lscData.empty()) { + LOG(RkISP1Lsc, Error) << "Failed to load any sets"; + return -EINVAL; + } + + return 0; + } + +private: + /* + * The lsc grid has custom spacing defined on half the range (see + * parseSizes() for details). For easier handling this function converts + * the spaces vector to positions and mirrors them. E.g.: + * + * input: | 0.2 | 0.3 | + * output: 0.0 0.2 0.5 0.8 1.0 + */ + std::vector<double> sizesListToPositions(const std::vector<double> &sizes) + { + const int half = sizes.size(); + std::vector<double> res(half * 2 + 1); + double x = 0.0; + + res[half] = 0.5; + for (int i = 1; i <= half; i++) { + x += sizes[half - i]; + res[half - i] = 0.5 - x; + res[half + i] = 0.5 + x; + } + + return res; + } + + std::vector<uint16_t> samplePolynomial(const LscPolynomial &poly) + { + constexpr int k = RKISP1_CIF_ISP_LSC_SAMPLES_MAX; + + double m = poly.getM(); + double x0 = cropRectangle_.x / m; + double y0 = cropRectangle_.y / m; + double w = cropRectangle_.width / m; + double h = cropRectangle_.height / m; + std::vector<uint16_t> res; + + assert(xSizes_.size() * 2 + 1 == k); + assert(ySizes_.size() * 2 + 1 == k); + + res.reserve(k * k); + + std::vector<double> xPos(sizesListToPositions(xSizes_)); + std::vector<double> yPos(sizesListToPositions(ySizes_)); + + for (int y = 0; y < k; y++) { + for (int x = 0; x < k; x++) { + double xp = x0 + xPos[x] * w; + double yp = y0 + yPos[y] * h; + /* + * The hardware uses 2.10 fixed point format and + * limits the legal values to [1..3.999]. Scale + * and clamp the sampled value accordingly. + */ + int v = static_cast<int>( + poly.sampleAtNormalizedPixelPos(xp, yp) * + 1024); + v = std::min(std::max(v, 1024), 4095); + res.push_back(v); + } + } + return res; + } + + Size sensorSize_; + Rectangle cropRectangle_; + const std::vector<double> &xSizes_; + const std::vector<double> &ySizes_; +}; + +class LscTableLoader +{ +public: + int parseLscData(const YamlObject &yamlSets, + std::map<unsigned int, LensShadingCorrection::Components> &lscData) + { + const auto &sets = yamlSets.asList(); + + for (const auto &yamlSet : sets) { + uint32_t ct = yamlSet["ct"].get<uint32_t>(0); + + if (lscData.count(ct)) { + LOG(RkISP1Lsc, Error) + << "Multiple sets found for color temperature " + << ct; + return -EINVAL; + } + + LensShadingCorrection::Components &set = lscData[ct]; + + set.ct = ct; + set.r = parseTable(yamlSet, "r"); + set.gr = parseTable(yamlSet, "gr"); + set.gb = parseTable(yamlSet, "gb"); + set.b = parseTable(yamlSet, "b"); + + if (set.r.empty() || set.gr.empty() || + set.gb.empty() || set.b.empty()) { + LOG(RkISP1Lsc, Error) + << "Set for color temperature " << ct + << " is missing tables"; + return -EINVAL; + } + } + + if (lscData.empty()) { + LOG(RkISP1Lsc, Error) << "Failed to load any sets"; + return -EINVAL; + } + + return 0; + } + +private: + std::vector<uint16_t> parseTable(const YamlObject &tuningData, + const char *prop) + { + static constexpr unsigned int kLscNumSamples = + RKISP1_CIF_ISP_LSC_SAMPLES_MAX * RKISP1_CIF_ISP_LSC_SAMPLES_MAX; + + std::vector<uint16_t> table = + tuningData[prop].getList<uint16_t>().value_or(std::vector<uint16_t>{}); + if (table.size() != kLscNumSamples) { + LOG(RkISP1Lsc, Error) + << "Invalid '" << prop << "' values: expected " + << kLscNumSamples + << " elements, got " << table.size(); + return {}; + } + + return table; + } +}; + static std::vector<double> parseSizes(const YamlObject &tuningData, const char *prop) { @@ -70,28 +295,10 @@ static std::vector<double> parseSizes(const YamlObject &tuningData, return sizes; } -static std::vector<uint16_t> parseTable(const YamlObject &tuningData, - const char *prop) -{ - static constexpr unsigned int kLscNumSamples = - RKISP1_CIF_ISP_LSC_SAMPLES_MAX * RKISP1_CIF_ISP_LSC_SAMPLES_MAX; - - std::vector<uint16_t> table = - tuningData[prop].getList<uint16_t>().value_or(std::vector<uint16_t>{}); - if (table.size() != kLscNumSamples) { - LOG(RkISP1Lsc, Error) - << "Invalid '" << prop << "' values: expected " - << kLscNumSamples - << " elements, got " << table.size(); - return {}; - } - - return table; -} - LensShadingCorrection::LensShadingCorrection() - : lastCt_({ 0, 0 }) + : lastAppliedCt_(0), lastAppliedQuantizedCt_(0) { + sets_.setQuantization(kColourTemperatureChangeThreshhold); } /** @@ -114,38 +321,30 @@ int LensShadingCorrection::init([[maybe_unused]] IPAContext &context, return -EINVAL; } - const auto &sets = yamlSets.asList(); - for (const auto &yamlSet : sets) { - uint32_t ct = yamlSet["ct"].get<uint32_t>(0); - - if (sets_.count(ct)) { - LOG(RkISP1Lsc, Error) - << "Multiple sets found for color temperature " - << ct; - return -EINVAL; - } - - Components &set = sets_[ct]; - - set.ct = ct; - set.r = parseTable(yamlSet, "r"); - set.gr = parseTable(yamlSet, "gr"); - set.gb = parseTable(yamlSet, "gb"); - set.b = parseTable(yamlSet, "b"); - - if (set.r.empty() || set.gr.empty() || - set.gb.empty() || set.b.empty()) { - LOG(RkISP1Lsc, Error) - << "Set for color temperature " << ct - << " is missing tables"; - return -EINVAL; - } + std::map<unsigned int, Components> lscData; + int res = 0; + std::string type = tuningData["type"].get<std::string>("table"); + if (type == "table") { + LOG(RkISP1Lsc, Debug) << "Loading tabular LSC data."; + auto loader = LscTableLoader(); + res = loader.parseLscData(yamlSets, lscData); + } else if (type == "polynomial") { + LOG(RkISP1Lsc, Debug) << "Loading polynomial LSC data."; + auto loader = LscPolynomialLoader(context.sensorInfo.activeAreaSize, + context.sensorInfo.analogCrop, + xSize_, + ySize_); + res = loader.parseLscData(yamlSets, lscData); + } else { + LOG(RkISP1Lsc, Error) << "Unsupported LSC data type '" + << type << "'"; + res = -EINVAL; } - if (sets_.empty()) { - LOG(RkISP1Lsc, Error) << "Failed to load any sets"; - return -EINVAL; - } + if (res) + return res; + + sets_.setData(std::move(lscData)); return 0; } @@ -185,18 +384,12 @@ int LensShadingCorrection::configure(IPAContext &context, return 0; } -void LensShadingCorrection::setParameters(rkisp1_params_cfg *params) +void LensShadingCorrection::setParameters(rkisp1_cif_isp_lsc_config &config) { - struct rkisp1_cif_isp_lsc_config &config = params->others.lsc_config; - memcpy(config.x_grad_tbl, xGrad_, sizeof(config.x_grad_tbl)); memcpy(config.y_grad_tbl, yGrad_, sizeof(config.y_grad_tbl)); memcpy(config.x_size_tbl, xSizes_, sizeof(config.x_size_tbl)); memcpy(config.y_size_tbl, ySizes_, sizeof(config.y_size_tbl)); - - params->module_en_update |= RKISP1_CIF_ISP_MODULE_LSC; - params->module_ens |= RKISP1_CIF_ISP_MODULE_LSC; - params->module_cfg_update |= RKISP1_CIF_ISP_MODULE_LSC; } void LensShadingCorrection::copyTable(rkisp1_cif_isp_lsc_config &config, @@ -208,131 +401,34 @@ void LensShadingCorrection::copyTable(rkisp1_cif_isp_lsc_config &config, std::copy(set.b.begin(), set.b.end(), &config.b_data_tbl[0][0]); } -/* - * Interpolate LSC parameters based on color temperature value. - */ -void LensShadingCorrection::interpolateTable(rkisp1_cif_isp_lsc_config &config, - const Components &set0, - const Components &set1, - const uint32_t ct) -{ - double coeff0 = (set1.ct - ct) / static_cast<double>(set1.ct - set0.ct); - double coeff1 = (ct - set0.ct) / static_cast<double>(set1.ct - set0.ct); - - for (unsigned int i = 0; i < RKISP1_CIF_ISP_LSC_SAMPLES_MAX; ++i) { - for (unsigned int j = 0; j < RKISP1_CIF_ISP_LSC_SAMPLES_MAX; ++j) { - unsigned int sample = i * RKISP1_CIF_ISP_LSC_SAMPLES_MAX + j; - - config.r_data_tbl[i][j] = - set0.r[sample] * coeff0 + - set1.r[sample] * coeff1; - - config.gr_data_tbl[i][j] = - set0.gr[sample] * coeff0 + - set1.gr[sample] * coeff1; - - config.gb_data_tbl[i][j] = - set0.gb[sample] * coeff0 + - set1.gb[sample] * coeff1; - - config.b_data_tbl[i][j] = - set0.b[sample] * coeff0 + - set1.b[sample] * coeff1; - } - } -} - /** * \copydoc libcamera::ipa::Algorithm::prepare */ void LensShadingCorrection::prepare(IPAContext &context, - const uint32_t frame, + [[maybe_unused]] const uint32_t frame, [[maybe_unused]] IPAFrameContext &frameContext, - rkisp1_params_cfg *params) + RkISP1Params *params) { - struct rkisp1_cif_isp_lsc_config &config = params->others.lsc_config; - - /* - * If there is only one set, the configuration has already been done - * for first frame. - */ - if (sets_.size() == 1 && frame > 0) - return; - - /* - * If there is only one set, pick it. We can ignore lastCt_, as it will - * never be relevant. - */ - if (sets_.size() == 1) { - setParameters(params); - copyTable(config, sets_.cbegin()->second); - return; - } - uint32_t ct = context.activeState.awb.temperatureK; - ct = std::clamp(ct, sets_.cbegin()->first, sets_.crbegin()->first); - - /* - * If the original is the same, then it means the same adjustment would - * be made. If the adjusted is the same, then it means that it's the - * same as what was actually applied. Thus in these cases we can skip - * reprogramming the LSC. - * - * original == adjusted can only happen if an interpolation - * happened, or if original has an exact entry in sets_. This means - * that if original != adjusted, then original was adjusted to - * the nearest available entry in sets_, resulting in adjusted. - * Clearly, any ct value that is in between original and adjusted - * will be adjusted to the same adjusted value, so we can skip - * reprogramming the LSC table. - * - * We also skip updating the original value, as the last one had a - * larger bound and thus a larger range of ct values that will be - * adjusted to the same adjusted. - */ - if ((lastCt_.original <= ct && ct <= lastCt_.adjusted) || - (lastCt_.adjusted <= ct && ct <= lastCt_.original)) + if (std::abs(static_cast<int>(ct) - static_cast<int>(lastAppliedCt_)) < + kColourTemperatureChangeThreshhold) return; - - setParameters(params); - - /* - * The color temperature matches exactly one of the available LSC tables. - */ - if (sets_.count(ct)) { - copyTable(config, sets_[ct]); - lastCt_ = { ct, ct }; + unsigned int quantizedCt; + const Components &set = sets_.getInterpolated(ct, &quantizedCt); + if (lastAppliedQuantizedCt_ == quantizedCt) return; - } - /* No shortcuts left; we need to round or interpolate */ - auto iter = sets_.upper_bound(ct); - const Components &set1 = iter->second; - const Components &set0 = (--iter)->second; - uint32_t ct0 = set0.ct; - uint32_t ct1 = set1.ct; - uint32_t diff0 = ct - ct0; - uint32_t diff1 = ct1 - ct; - static constexpr double kThreshold = 0.1; - float threshold = kThreshold * (ct1 - ct0); - - if (diff0 < threshold || diff1 < threshold) { - const Components &set = diff0 < diff1 ? set0 : set1; - LOG(RkISP1Lsc, Debug) << "using LSC table for " << set.ct; - copyTable(config, set); - lastCt_ = { ct, set.ct }; - return; - } + auto config = params->block<BlockType::Lsc>(); + config.setEnabled(true); + setParameters(*config); + copyTable(*config, set); + + lastAppliedCt_ = ct; + lastAppliedQuantizedCt_ = quantizedCt; - /* - * ct is not within 10% of the difference between the neighbouring - * color temperatures, so we need to interpolate. - */ LOG(RkISP1Lsc, Debug) - << "ct is " << ct << ", interpolating between " - << ct0 << " and " << ct1; - interpolateTable(config, set0, set1, ct); - lastCt_ = { ct, ct }; + << "ct is " << ct << ", quantized to " + << quantizedCt; } REGISTER_IPA_ALGORITHM(LensShadingCorrection, "LensShadingCorrection") diff --git a/src/ipa/rkisp1/algorithms/lsc.h b/src/ipa/rkisp1/algorithms/lsc.h index 5baf5927..5a0824e3 100644 --- a/src/ipa/rkisp1/algorithms/lsc.h +++ b/src/ipa/rkisp1/algorithms/lsc.h @@ -9,6 +9,8 @@ #include <map> +#include "libipa/interpolator.h" + #include "algorithm.h" namespace libcamera { @@ -25,9 +27,8 @@ public: int configure(IPAContext &context, const IPACameraSensorInfo &configInfo) override; void prepare(IPAContext &context, const uint32_t frame, IPAFrameContext &frameContext, - rkisp1_params_cfg *params) override; + RkISP1Params *params) override; -private: struct Components { uint32_t ct; std::vector<uint16_t> r; @@ -36,23 +37,23 @@ private: std::vector<uint16_t> b; }; - void setParameters(rkisp1_params_cfg *params); +private: + void setParameters(rkisp1_cif_isp_lsc_config &config); void copyTable(rkisp1_cif_isp_lsc_config &config, const Components &set0); void interpolateTable(rkisp1_cif_isp_lsc_config &config, const Components &set0, const Components &set1, const uint32_t ct); - std::map<uint32_t, Components> sets_; + ipa::Interpolator<Components> sets_; std::vector<double> xSize_; std::vector<double> ySize_; uint16_t xGrad_[RKISP1_CIF_ISP_LSC_SECTORS_TBL_SIZE]; uint16_t yGrad_[RKISP1_CIF_ISP_LSC_SECTORS_TBL_SIZE]; uint16_t xSizes_[RKISP1_CIF_ISP_LSC_SECTORS_TBL_SIZE]; uint16_t ySizes_[RKISP1_CIF_ISP_LSC_SECTORS_TBL_SIZE]; - struct { - uint32_t original; - uint32_t adjusted; - } lastCt_; + + unsigned int lastAppliedCt_; + unsigned int lastAppliedQuantizedCt_; }; } /* namespace ipa::rkisp1::algorithms */ diff --git a/src/ipa/rkisp1/algorithms/lux.cpp b/src/ipa/rkisp1/algorithms/lux.cpp new file mode 100644 index 00000000..a467767e --- /dev/null +++ b/src/ipa/rkisp1/algorithms/lux.cpp @@ -0,0 +1,76 @@ +/* SPDX-License-Identifier: LGPL-2.1-or-later */ +/* + * Copyright (C) 2024, Ideas On Board + * + * lux.cpp - RkISP1 Lux control + */ + +#include "lux.h" + +#include <libcamera/base/log.h> + +#include <libcamera/control_ids.h> + +#include "libipa/histogram.h" +#include "libipa/lux.h" + +/** + * \file lux.h + */ + +namespace libcamera { + +namespace ipa::rkisp1::algorithms { + +/** + * \class Lux + * \brief RkISP1 Lux control + * + * The Lux algorithm is responsible for estimating the lux level of the image. + * It doesn't take or generate any controls, but it provides a lux level for + * other algorithms (such as AGC) to use. + */ + +/** + * \brief Construct an rkisp1 Lux algo module + */ +Lux::Lux() +{ +} + +/** + * \copydoc libcamera::ipa::Algorithm::init + */ +int Lux::init([[maybe_unused]] IPAContext &context, const YamlObject &tuningData) +{ + return lux_.parseTuningData(tuningData); +} + +/** + * \copydoc libcamera::ipa::Algorithm::process + */ +void Lux::process(IPAContext &context, + [[maybe_unused]] const uint32_t frame, + IPAFrameContext &frameContext, + const rkisp1_stat_buffer *stats, + ControlList &metadata) +{ + utils::Duration exposureTime = context.configuration.sensor.lineDuration + * frameContext.sensor.exposure; + double gain = frameContext.sensor.gain; + + /* \todo Deduplicate the histogram calculation from AGC */ + const rkisp1_cif_isp_stat *params = &stats->params; + Histogram yHist({ params->hist.hist_bins, context.hw->numHistogramBins }, + [](uint32_t x) { return x >> 4; }); + + double lux = lux_.estimateLux(exposureTime, gain, 1.0, yHist); + frameContext.lux.lux = lux; + metadata.set(controls::Lux, lux); +} + +REGISTER_IPA_ALGORITHM(Lux, "Lux") + +} /* namespace ipa::rkisp1::algorithms */ + +} /* namespace libcamera */ diff --git a/src/ipa/rkisp1/algorithms/lux.h b/src/ipa/rkisp1/algorithms/lux.h new file mode 100644 index 00000000..8a90de55 --- /dev/null +++ b/src/ipa/rkisp1/algorithms/lux.h @@ -0,0 +1,36 @@ +/* SPDX-License-Identifier: LGPL-2.1-or-later */ +/* + * Copyright (C) 2024, Ideas On Board + * + * lux.h - RkISP1 Lux control + */ + +#pragma once + +#include <sys/types.h> + +#include "libipa/lux.h" + +#include "algorithm.h" + +namespace libcamera { + +namespace ipa::rkisp1::algorithms { + +class Lux : public Algorithm +{ +public: + Lux(); + + int init(IPAContext &context, const YamlObject &tuningData) override; + void process(IPAContext &context, const uint32_t frame, + IPAFrameContext &frameContext, + const rkisp1_stat_buffer *stats, + ControlList &metadata) override; + +private: + ipa::Lux lux_; +}; + +} /* namespace ipa::rkisp1::algorithms */ +} /* namespace libcamera */ diff --git a/src/ipa/rkisp1/algorithms/meson.build b/src/ipa/rkisp1/algorithms/meson.build index 1734a667..c66b0b70 100644 --- a/src/ipa/rkisp1/algorithms/meson.build +++ b/src/ipa/rkisp1/algorithms/meson.build @@ -12,4 +12,5 @@ rkisp1_ipa_algorithms = files([ 'goc.cpp', 'gsl.cpp', 'lsc.cpp', + 'lux.cpp', ]) diff --git a/src/ipa/rkisp1/ipa_context.cpp b/src/ipa/rkisp1/ipa_context.cpp index 9f3f576a..99611bd5 100644 --- a/src/ipa/rkisp1/ipa_context.cpp +++ b/src/ipa/rkisp1/ipa_context.cpp @@ -78,11 +78,11 @@ namespace libcamera::ipa::rkisp1 { * \var IPASessionConfiguration::sensor * \brief Sensor-specific configuration of the IPA * - * \var IPASessionConfiguration::sensor.minShutterSpeed - * \brief Minimum shutter speed supported with the sensor + * \var IPASessionConfiguration::sensor.minExposureTime + * \brief Minimum exposure time supported with the sensor * - * \var IPASessionConfiguration::sensor.maxShutterSpeed - * \brief Maximum shutter speed supported with the sensor + * \var IPASessionConfiguration::sensor.maxExposureTime + * \brief Maximum exposure time supported with the sensor * * \var IPASessionConfiguration::sensor.minAnalogueGain * \brief Minimum analogue gain supported with the sensor @@ -106,6 +106,11 @@ namespace libcamera::ipa::rkisp1 { */ /** + * \var IPASessionConfiguration::paramFormat + * \brief The fourcc of the parameters buffers format + */ + +/** * \struct IPAActiveState * \brief Active state for algorithms * @@ -160,8 +165,11 @@ namespace libcamera::ipa::rkisp1 { * \var IPAActiveState::agc.automatic.gain * \brief Automatic analogue gain multiplier * - * \var IPAActiveState::agc.autoEnabled - * \brief Manual/automatic AGC state as set by the AeEnable control + * \var IPAActiveState::agc.autoExposureEnabled + * \brief Manual/automatic AGC state (exposure) as set by the ExposureTimeMode control + * + * \var IPAActiveState::agc.autoGainEnabled + * \brief Manual/automatic AGC state (gain) as set by the AnalogueGainMode control * * \var IPAActiveState::agc.constraintMode * \brief Constraint mode as set by the AeConstraintMode control @@ -172,6 +180,9 @@ namespace libcamera::ipa::rkisp1 { * \var IPAActiveState::agc.meteringMode * \brief Metering mode as set by the AeMeteringMode control * + * \var IPAActiveState::agc.minFrameDuration + * \brief Minimum frame duration as set by the FrameDurationLimits control + * * \var IPAActiveState::agc.maxFrameDuration * \brief Maximum frame duration as set by the FrameDurationLimits control */ @@ -183,30 +194,12 @@ namespace libcamera::ipa::rkisp1 { * \struct IPAActiveState::awb.gains * \brief White balance gains * - * \struct IPAActiveState::awb.gains.manual + * \var IPAActiveState::awb.gains.manual * \brief Manual white balance gains (set through requests) * - * \var IPAActiveState::awb.gains.manual.red - * \brief Manual white balance gain for R channel - * - * \var IPAActiveState::awb.gains.manual.green - * \brief Manual white balance gain for G channel - * - * \var IPAActiveState::awb.gains.manual.blue - * \brief Manual white balance gain for B channel - * - * \struct IPAActiveState::awb.gains.automatic + * \var IPAActiveState::awb.gains.automatic * \brief Automatic white balance gains (computed by the algorithm) * - * \var IPAActiveState::awb.gains.automatic.red - * \brief Automatic white balance gain for R channel - * - * \var IPAActiveState::awb.gains.automatic.green - * \brief Automatic white balance gain for G channel - * - * \var IPAActiveState::awb.gains.automatic.blue - * \brief Automatic white balance gain for B channel - * * \var IPAActiveState::awb.temperatureK * \brief Estimated color temperature * @@ -292,7 +285,9 @@ namespace libcamera::ipa::rkisp1 { * \brief Automatic Gain Control parameters for this frame * * The exposure and gain are provided by the AGC algorithm, and are to be - * applied to the sensor in order to take effect for this frame. + * applied to the sensor in order to take effect for this frame. Additionally + * the vertical blanking period is determined to maintain a consistent frame + * rate matched to the FrameDurationLimits as set by the user. * * \var IPAFrameContext::agc.exposure * \brief Exposure time expressed as a number of lines computed by the algorithm @@ -302,8 +297,14 @@ namespace libcamera::ipa::rkisp1 { * * The gain should be adapted to the sensor specific gain code before applying. * - * \var IPAFrameContext::agc.autoEnabled - * \brief Manual/automatic AGC state as set by the AeEnable control + * \var IPAFrameContext::agc.vblank + * \brief Vertical blanking parameter computed by the algorithm + * + * \var IPAFrameContext::agc.autoExposureEnabled + * \brief Manual/automatic AGC state (exposure) as set by the ExposureTimeMode control + * + * \var IPAFrameContext::agc.autoGainEnabled + * \brief Manual/automatic AGC state (gain) as set by the AnalogueGainMode control * * \var IPAFrameContext::agc.constraintMode * \brief Constraint mode as set by the AeConstraintMode control @@ -314,11 +315,27 @@ namespace libcamera::ipa::rkisp1 { * \var IPAFrameContext::agc.meteringMode * \brief Metering mode as set by the AeMeteringMode control * + * \var IPAFrameContext::agc.minFrameDuration + * \brief Minimum frame duration as set by the FrameDurationLimits control + * * \var IPAFrameContext::agc.maxFrameDuration * \brief Maximum frame duration as set by the FrameDurationLimits control * + * \var IPAFrameContext::agc.frameDuration + * \brief The actual FrameDuration used by the algorithm for the frame + * * \var IPAFrameContext::agc.updateMetering * \brief Indicate if new ISP AGC metering parameters need to be applied + * + * \var IPAFrameContext::agc.autoExposureModeChange + * \brief Indicate if autoExposureEnabled has changed from true in the previous + * frame to false in the current frame, and no manual exposure value has been + * supplied in the current frame. + * + * \var IPAFrameContext::agc.autoGainModeChange + * \brief Indicate if autoGainEnabled has changed from true in the previous + * frame to false in the current frame, and no manual gain value has been + * supplied in the current frame. */ /** @@ -328,15 +345,6 @@ namespace libcamera::ipa::rkisp1 { * \struct IPAFrameContext::awb.gains * \brief White balance gains * - * \var IPAFrameContext::awb.gains.red - * \brief White balance gain for R channel - * - * \var IPAFrameContext::awb.gains.green - * \brief White balance gain for G channel - * - * \var IPAFrameContext::awb.gains.blue - * \brief White balance gain for B channel - * * \var IPAFrameContext::awb.temperatureK * \brief Estimated color temperature * @@ -419,6 +427,9 @@ namespace libcamera::ipa::rkisp1 { * \var IPAContext::hw * \brief RkISP1 version-specific hardware parameters * + * \var IPAContext::sensorInfo + * \brief The IPA session sensorInfo, immutable during the session + * * \var IPAContext::configuration * \brief The IPA session configuration, immutable during the session * diff --git a/src/ipa/rkisp1/ipa_context.h b/src/ipa/rkisp1/ipa_context.h index 061efc0c..474f7036 100644 --- a/src/ipa/rkisp1/ipa_context.h +++ b/src/ipa/rkisp1/ipa_context.h @@ -18,9 +18,14 @@ #include <libcamera/controls.h> #include <libcamera/geometry.h> +#include <libcamera/ipa/core_ipa_interface.h> + +#include "libcamera/internal/debug_controls.h" +#include "libcamera/internal/matrix.h" +#include "libcamera/internal/vector.h" + #include <libipa/camera_sensor_helper.h> #include <libipa/fc_queue.h> -#include <libipa/matrix.h> namespace libcamera { @@ -31,6 +36,7 @@ struct IPAHwSettings { unsigned int numHistogramBins; unsigned int numHistogramWeights; unsigned int numGammaOutSamples; + bool compand; }; struct IPASessionConfiguration { @@ -48,8 +54,8 @@ struct IPASessionConfiguration { } lsc; struct { - utils::Duration minShutterSpeed; - utils::Duration maxShutterSpeed; + utils::Duration minExposureTime; + utils::Duration maxExposureTime; double minAnalogueGain; double maxAnalogueGain; @@ -59,6 +65,7 @@ struct IPASessionConfiguration { } sensor; bool raw; + uint32_t paramFormat; }; struct IPAActiveState { @@ -72,25 +79,19 @@ struct IPAActiveState { double gain; } automatic; - bool autoEnabled; + bool autoExposureEnabled; + bool autoGainEnabled; controls::AeConstraintModeEnum constraintMode; controls::AeExposureModeEnum exposureMode; controls::AeMeteringModeEnum meteringMode; + utils::Duration minFrameDuration; utils::Duration maxFrameDuration; } agc; struct { struct { - struct { - double red; - double green; - double blue; - } manual; - struct { - double red; - double green; - double blue; - } automatic; + RGB<double> manual; + RGB<double> automatic; } gains; unsigned int temperatureK; @@ -125,22 +126,24 @@ struct IPAFrameContext : public FrameContext { struct { uint32_t exposure; double gain; - bool autoEnabled; + uint32_t vblank; + bool autoExposureEnabled; + bool autoGainEnabled; controls::AeConstraintModeEnum constraintMode; controls::AeExposureModeEnum exposureMode; controls::AeMeteringModeEnum meteringMode; + utils::Duration minFrameDuration; utils::Duration maxFrameDuration; + utils::Duration frameDuration; bool updateMetering; + bool autoExposureModeChange; + bool autoGainModeChange; } agc; struct { - struct { - double red; - double green; - double blue; - } gains; - + RGB<double> gains; bool autoEnabled; + unsigned int temperatureK; } awb; struct { @@ -174,10 +177,20 @@ struct IPAFrameContext : public FrameContext { struct { Matrix<float, 3, 3> ccm; } ccm; + + struct { + double lux; + } lux; }; struct IPAContext { + IPAContext(unsigned int frameContextSize) + : hw(nullptr), frameContexts(frameContextSize) + { + } + const IPAHwSettings *hw; + IPACameraSensorInfo sensorInfo; IPASessionConfiguration configuration; IPAActiveState activeState; @@ -185,6 +198,8 @@ struct IPAContext { ControlInfoMap::Map ctrlMap; + DebugMetadata debugMetadata; + /* Interface to the Camera Helper */ std::unique_ptr<CameraSensorHelper> camHelper; }; diff --git a/src/ipa/rkisp1/meson.build b/src/ipa/rkisp1/meson.build index 160ef52d..26a9fa40 100644 --- a/src/ipa/rkisp1/meson.build +++ b/src/ipa/rkisp1/meson.build @@ -7,8 +7,8 @@ ipa_name = 'ipa_rkisp1' rkisp1_ipa_sources = files([ 'ipa_context.cpp', + 'params.cpp', 'rkisp1.cpp', - 'utils.cpp', ]) rkisp1_ipa_sources += rkisp1_ipa_algorithms diff --git a/src/ipa/rkisp1/module.h b/src/ipa/rkisp1/module.h index 16c3e43e..69e9bc82 100644 --- a/src/ipa/rkisp1/module.h +++ b/src/ipa/rkisp1/module.h @@ -14,13 +14,14 @@ #include <libipa/module.h> #include "ipa_context.h" +#include "params.h" namespace libcamera { namespace ipa::rkisp1 { using Module = ipa::Module<IPAContext, IPAFrameContext, IPACameraSensorInfo, - rkisp1_params_cfg, rkisp1_stat_buffer>; + RkISP1Params, rkisp1_stat_buffer>; } /* namespace ipa::rkisp1 */ diff --git a/src/ipa/rkisp1/params.cpp b/src/ipa/rkisp1/params.cpp new file mode 100644 index 00000000..4c0b051c --- /dev/null +++ b/src/ipa/rkisp1/params.cpp @@ -0,0 +1,222 @@ +/* SPDX-License-Identifier: LGPL-2.1-or-later */ +/* + * Copyright (C) 2024, Ideas On Board + * + * RkISP1 ISP Parameters + */ + +#include "params.h" + +#include <map> +#include <stddef.h> +#include <string.h> + +#include <linux/rkisp1-config.h> +#include <linux/videodev2.h> + +#include <libcamera/base/log.h> +#include <libcamera/base/utils.h> + +namespace libcamera { + +LOG_DEFINE_CATEGORY(RkISP1Params) + +namespace ipa::rkisp1 { + +namespace { + +struct BlockTypeInfo { + enum rkisp1_ext_params_block_type type; + size_t size; + size_t offset; + uint32_t enableBit; +}; + +#define RKISP1_BLOCK_TYPE_ENTRY(block, id, type, category, bit) \ + { BlockType::block, { \ + RKISP1_EXT_PARAMS_BLOCK_TYPE_##id, \ + sizeof(struct rkisp1_cif_isp_##type##_config), \ + offsetof(struct rkisp1_params_cfg, category.type##_config), \ + RKISP1_CIF_ISP_MODULE_##bit, \ + } } + +#define RKISP1_BLOCK_TYPE_ENTRY_MEAS(block, id, type) \ + RKISP1_BLOCK_TYPE_ENTRY(block, id##_MEAS, type, meas, id) + +#define RKISP1_BLOCK_TYPE_ENTRY_OTHERS(block, id, type) \ + RKISP1_BLOCK_TYPE_ENTRY(block, id, type, others, id) + +#define RKISP1_BLOCK_TYPE_ENTRY_EXT(block, id, type) \ + { BlockType::block, { \ + RKISP1_EXT_PARAMS_BLOCK_TYPE_##id, \ + sizeof(struct rkisp1_cif_isp_##type##_config), \ + 0, 0, \ + } } + +const std::map<BlockType, BlockTypeInfo> kBlockTypeInfo = { + RKISP1_BLOCK_TYPE_ENTRY_OTHERS(Bls, BLS, bls), + RKISP1_BLOCK_TYPE_ENTRY_OTHERS(Dpcc, DPCC, dpcc), + RKISP1_BLOCK_TYPE_ENTRY_OTHERS(Sdg, SDG, sdg), + RKISP1_BLOCK_TYPE_ENTRY_OTHERS(AwbGain, AWB_GAIN, awb_gain), + RKISP1_BLOCK_TYPE_ENTRY_OTHERS(Flt, FLT, flt), + RKISP1_BLOCK_TYPE_ENTRY_OTHERS(Bdm, BDM, bdm), + RKISP1_BLOCK_TYPE_ENTRY_OTHERS(Ctk, CTK, ctk), + RKISP1_BLOCK_TYPE_ENTRY_OTHERS(Goc, GOC, goc), + RKISP1_BLOCK_TYPE_ENTRY_OTHERS(Dpf, DPF, dpf), + RKISP1_BLOCK_TYPE_ENTRY_OTHERS(DpfStrength, DPF_STRENGTH, dpf_strength), + RKISP1_BLOCK_TYPE_ENTRY_OTHERS(Cproc, CPROC, cproc), + RKISP1_BLOCK_TYPE_ENTRY_OTHERS(Ie, IE, ie), + RKISP1_BLOCK_TYPE_ENTRY_OTHERS(Lsc, LSC, lsc), + RKISP1_BLOCK_TYPE_ENTRY_MEAS(Awb, AWB, awb_meas), + RKISP1_BLOCK_TYPE_ENTRY_MEAS(Hst, HST, hst), + RKISP1_BLOCK_TYPE_ENTRY_MEAS(Aec, AEC, aec), + RKISP1_BLOCK_TYPE_ENTRY_MEAS(Afc, AFC, afc), + RKISP1_BLOCK_TYPE_ENTRY_EXT(CompandBls, COMPAND_BLS, compand_bls), + RKISP1_BLOCK_TYPE_ENTRY_EXT(CompandExpand, COMPAND_EXPAND, compand_curve), + RKISP1_BLOCK_TYPE_ENTRY_EXT(CompandCompress, COMPAND_COMPRESS, compand_curve), +}; + +} /* namespace */ + +RkISP1ParamsBlockBase::RkISP1ParamsBlockBase(RkISP1Params *params, BlockType type, + const Span<uint8_t> &data) + : params_(params), type_(type) +{ + if (params_->format() == V4L2_META_FMT_RK_ISP1_EXT_PARAMS) { + header_ = data.subspan(0, sizeof(rkisp1_ext_params_block_header)); + data_ = data.subspan(sizeof(rkisp1_ext_params_block_header)); + } else { + data_ = data; + } +} + +void RkISP1ParamsBlockBase::setEnabled(bool enabled) +{ + /* + * For the legacy fixed format, blocks are enabled in the top-level + * header. Delegate to the RkISP1Params class. + */ + if (params_->format() == V4L2_META_FMT_RK_ISP1_PARAMS) + return params_->setBlockEnabled(type_, enabled); + + /* + * For the extensible format, set the enable and disable flags in the + * block header directly. + */ + struct rkisp1_ext_params_block_header *header = + reinterpret_cast<struct rkisp1_ext_params_block_header *>(header_.data()); + header->flags &= ~(RKISP1_EXT_PARAMS_FL_BLOCK_ENABLE | + RKISP1_EXT_PARAMS_FL_BLOCK_DISABLE); + header->flags |= enabled ? RKISP1_EXT_PARAMS_FL_BLOCK_ENABLE + : RKISP1_EXT_PARAMS_FL_BLOCK_DISABLE; +} + +RkISP1Params::RkISP1Params(uint32_t format, Span<uint8_t> data) + : format_(format), data_(data), used_(0) +{ + if (format_ == V4L2_META_FMT_RK_ISP1_EXT_PARAMS) { + struct rkisp1_ext_params_cfg *cfg = + reinterpret_cast<struct rkisp1_ext_params_cfg *>(data.data()); + + cfg->version = RKISP1_EXT_PARAM_BUFFER_V1; + cfg->data_size = 0; + + used_ += offsetof(struct rkisp1_ext_params_cfg, data); + } else { + memset(data.data(), 0, data.size()); + used_ = sizeof(struct rkisp1_params_cfg); + } +} + +void RkISP1Params::setBlockEnabled(BlockType type, bool enabled) +{ + const BlockTypeInfo &info = kBlockTypeInfo.at(type); + + struct rkisp1_params_cfg *cfg = + reinterpret_cast<struct rkisp1_params_cfg *>(data_.data()); + if (enabled) + cfg->module_ens |= info.enableBit; + else + cfg->module_ens &= ~info.enableBit; +} + +Span<uint8_t> RkISP1Params::block(BlockType type) +{ + auto infoIt = kBlockTypeInfo.find(type); + if (infoIt == kBlockTypeInfo.end()) { + LOG(RkISP1Params, Error) + << "Invalid parameters block type " + << utils::to_underlying(type); + return {}; + } + + const BlockTypeInfo &info = infoIt->second; + + /* + * For the legacy format, return a block referencing the fixed location + * of the data. + */ + if (format_ == V4L2_META_FMT_RK_ISP1_PARAMS) { + /* + * Blocks available only in extended parameters have an offset + * of 0. Return nullptr in that case. + */ + if (info.offset == 0) { + LOG(RkISP1Params, Error) + << "Block type " << utils::to_underlying(type) + << " unavailable in fixed parameters format"; + return {}; + } + + struct rkisp1_params_cfg *cfg = + reinterpret_cast<struct rkisp1_params_cfg *>(data_.data()); + + cfg->module_cfg_update |= info.enableBit; + cfg->module_en_update |= info.enableBit; + + return data_.subspan(info.offset, info.size); + } + + /* + * For the extensible format, allocate memory for the block, including + * the header. Look up the block in the cache first. If an algorithm + * requests the same block type twice, it should get the same block. + */ + auto cacheIt = blocks_.find(type); + if (cacheIt != blocks_.end()) + return cacheIt->second; + + /* Make sure we don't run out of space. */ + size_t size = sizeof(struct rkisp1_ext_params_block_header) + + ((info.size + 7) & ~7); + if (size > data_.size() - used_) { + LOG(RkISP1Params, Error) + << "Out of memory to allocate block type " + << utils::to_underlying(type); + return {}; + } + + /* Allocate a new block, clear its memory, and initialize its header. */ + Span<uint8_t> block = data_.subspan(used_, size); + used_ += size; + + struct rkisp1_ext_params_cfg *cfg = + reinterpret_cast<struct rkisp1_ext_params_cfg *>(data_.data()); + cfg->data_size += size; + + memset(block.data(), 0, block.size()); + + struct rkisp1_ext_params_block_header *header = + reinterpret_cast<struct rkisp1_ext_params_block_header *>(block.data()); + header->type = info.type; + header->size = block.size(); + + /* Update the cache. */ + blocks_[type] = block; + + return block; +} + +} /* namespace ipa::rkisp1 */ + +} /* namespace libcamera */ diff --git a/src/ipa/rkisp1/params.h b/src/ipa/rkisp1/params.h new file mode 100644 index 00000000..40450e34 --- /dev/null +++ b/src/ipa/rkisp1/params.h @@ -0,0 +1,163 @@ +/* SPDX-License-Identifier: LGPL-2.1-or-later */ +/* + * Copyright (C) 2024, Ideas On Board + * + * RkISP1 ISP Parameters + */ + +#pragma once + +#include <map> +#include <stdint.h> + +#include <linux/rkisp1-config.h> + +#include <libcamera/base/class.h> +#include <libcamera/base/span.h> + +namespace libcamera { + +namespace ipa::rkisp1 { + +enum class BlockType { + Bls, + Dpcc, + Sdg, + AwbGain, + Flt, + Bdm, + Ctk, + Goc, + Dpf, + DpfStrength, + Cproc, + Ie, + Lsc, + Awb, + Hst, + Aec, + Afc, + CompandBls, + CompandExpand, + CompandCompress, +}; + +namespace details { + +template<BlockType B> +struct block_type { +}; + +#define RKISP1_DEFINE_BLOCK_TYPE(blockType, blockStruct) \ +template<> \ +struct block_type<BlockType::blockType> { \ + using type = struct rkisp1_cif_isp_##blockStruct##_config; \ +}; + +RKISP1_DEFINE_BLOCK_TYPE(Bls, bls) +RKISP1_DEFINE_BLOCK_TYPE(Dpcc, dpcc) +RKISP1_DEFINE_BLOCK_TYPE(Sdg, sdg) +RKISP1_DEFINE_BLOCK_TYPE(AwbGain, awb_gain) +RKISP1_DEFINE_BLOCK_TYPE(Flt, flt) +RKISP1_DEFINE_BLOCK_TYPE(Bdm, bdm) +RKISP1_DEFINE_BLOCK_TYPE(Ctk, ctk) +RKISP1_DEFINE_BLOCK_TYPE(Goc, goc) +RKISP1_DEFINE_BLOCK_TYPE(Dpf, dpf) +RKISP1_DEFINE_BLOCK_TYPE(DpfStrength, dpf_strength) +RKISP1_DEFINE_BLOCK_TYPE(Cproc, cproc) +RKISP1_DEFINE_BLOCK_TYPE(Ie, ie) +RKISP1_DEFINE_BLOCK_TYPE(Lsc, lsc) +RKISP1_DEFINE_BLOCK_TYPE(Awb, awb_meas) +RKISP1_DEFINE_BLOCK_TYPE(Hst, hst) +RKISP1_DEFINE_BLOCK_TYPE(Aec, aec) +RKISP1_DEFINE_BLOCK_TYPE(Afc, afc) +RKISP1_DEFINE_BLOCK_TYPE(CompandBls, compand_bls) +RKISP1_DEFINE_BLOCK_TYPE(CompandExpand, compand_curve) +RKISP1_DEFINE_BLOCK_TYPE(CompandCompress, compand_curve) + +} /* namespace details */ + +class RkISP1Params; + +class RkISP1ParamsBlockBase +{ +public: + RkISP1ParamsBlockBase(RkISP1Params *params, BlockType type, + const Span<uint8_t> &data); + + Span<uint8_t> data() const { return data_; } + + void setEnabled(bool enabled); + +private: + LIBCAMERA_DISABLE_COPY(RkISP1ParamsBlockBase) + + RkISP1Params *params_; + BlockType type_; + Span<uint8_t> header_; + Span<uint8_t> data_; +}; + +template<BlockType B> +class RkISP1ParamsBlock : public RkISP1ParamsBlockBase +{ +public: + using Type = typename details::block_type<B>::type; + + RkISP1ParamsBlock(RkISP1Params *params, const Span<uint8_t> &data) + : RkISP1ParamsBlockBase(params, B, data) + { + } + + const Type *operator->() const + { + return reinterpret_cast<const Type *>(data().data()); + } + + Type *operator->() + { + return reinterpret_cast<Type *>(data().data()); + } + + const Type &operator*() const & + { + return *reinterpret_cast<const Type *>(data().data()); + } + + Type &operator*() & + { + return *reinterpret_cast<Type *>(data().data()); + } +}; + +class RkISP1Params +{ +public: + RkISP1Params(uint32_t format, Span<uint8_t> data); + + template<BlockType B> + RkISP1ParamsBlock<B> block() + { + return RkISP1ParamsBlock<B>(this, block(B)); + } + + uint32_t format() const { return format_; } + size_t size() const { return used_; } + +private: + friend class RkISP1ParamsBlockBase; + + Span<uint8_t> block(BlockType type); + void setBlockEnabled(BlockType type, bool enabled); + + uint32_t format_; + + Span<uint8_t> data_; + size_t used_; + + std::map<BlockType, Span<uint8_t>> blocks_; +}; + +} /* namespace ipa::rkisp1 */ + +} /* namespace libcamera*/ diff --git a/src/ipa/rkisp1/rkisp1.cpp b/src/ipa/rkisp1/rkisp1.cpp index 23e0826c..70ce0cba 100644 --- a/src/ipa/rkisp1/rkisp1.cpp +++ b/src/ipa/rkisp1/rkisp1.cpp @@ -6,8 +6,8 @@ */ #include <algorithm> -#include <math.h> -#include <queue> +#include <array> +#include <chrono> #include <stdint.h> #include <string.h> @@ -18,11 +18,13 @@ #include <libcamera/base/log.h> #include <libcamera/control_ids.h> +#include <libcamera/controls.h> #include <libcamera/framebuffer.h> +#include <libcamera/request.h> + #include <libcamera/ipa/ipa_interface.h> #include <libcamera/ipa/ipa_module_info.h> #include <libcamera/ipa/rkisp1_ipa_interface.h> -#include <libcamera/request.h> #include "libcamera/internal/formats.h" #include "libcamera/internal/mapped_framebuffer.h" @@ -31,6 +33,7 @@ #include "algorithms/algorithm.h" #include "ipa_context.h" +#include "params.h" namespace libcamera { @@ -62,9 +65,9 @@ public: void unmapBuffers(const std::vector<unsigned int> &ids) override; void queueRequest(const uint32_t frame, const ControlList &controls) override; - void fillParamsBuffer(const uint32_t frame, const uint32_t bufferId) override; - void processStatsBuffer(const uint32_t frame, const uint32_t bufferId, - const ControlList &sensorControls) override; + void computeParams(const uint32_t frame, const uint32_t bufferId) override; + void processStats(const uint32_t frame, const uint32_t bufferId, + const ControlList &sensorControls) override; protected: std::string logPrefix() const override; @@ -91,6 +94,15 @@ const IPAHwSettings ipaHwSettingsV10{ RKISP1_CIF_ISP_HIST_BIN_N_MAX_V10, RKISP1_CIF_ISP_HISTOGRAM_WEIGHT_GRIDS_SIZE_V10, RKISP1_CIF_ISP_GAMMA_OUT_MAX_SAMPLES_V10, + false, +}; + +const IPAHwSettings ipaHwSettingsIMX8MP{ + RKISP1_CIF_ISP_AE_MEAN_MAX_V10, + RKISP1_CIF_ISP_HIST_BIN_N_MAX_V10, + RKISP1_CIF_ISP_HISTOGRAM_WEIGHT_GRIDS_SIZE_V10, + RKISP1_CIF_ISP_GAMMA_OUT_MAX_SAMPLES_V10, + true, }; const IPAHwSettings ipaHwSettingsV12{ @@ -98,12 +110,14 @@ const IPAHwSettings ipaHwSettingsV12{ RKISP1_CIF_ISP_HIST_BIN_N_MAX_V12, RKISP1_CIF_ISP_HISTOGRAM_WEIGHT_GRIDS_SIZE_V12, RKISP1_CIF_ISP_GAMMA_OUT_MAX_SAMPLES_V12, + false, }; /* List of controls handled by the RkISP1 IPA */ const ControlInfoMap::Map rkisp1Controls{ { &controls::AwbEnable, ControlInfo(false, true) }, { &controls::ColourGains, ControlInfo(0.0f, 3.996f, 1.0f) }, + { &controls::DebugMetadataEnable, ControlInfo(false, true, false) }, { &controls::Sharpness, ControlInfo(0.0f, 10.0f, 1.0f) }, { &controls::draft::NoiseReductionMode, ControlInfo(controls::draft::NoiseReductionModeValues) }, }; @@ -111,7 +125,7 @@ const ControlInfoMap::Map rkisp1Controls{ } /* namespace */ IPARkISP1::IPARkISP1() - : context_({ {}, {}, {}, { kMaxFrameContexts }, {}, {} }) + : context_(kMaxFrameContexts) { } @@ -128,9 +142,11 @@ int IPARkISP1::init(const IPASettings &settings, unsigned int hwRevision, /* \todo Add support for other revisions */ switch (hwRevision) { case RKISP1_V10: - case RKISP1_V_IMX8MP: context_.hw = &ipaHwSettingsV10; break; + case RKISP1_V_IMX8MP: + context_.hw = &ipaHwSettingsIMX8MP; + break; case RKISP1_V12: context_.hw = &ipaHwSettingsV12; break; @@ -143,6 +159,8 @@ int IPARkISP1::init(const IPASettings &settings, unsigned int hwRevision, LOG(IPARkISP1, Debug) << "Hardware revision is " << hwRevision; + context_.sensorInfo = sensorInfo; + context_.camHelper = CameraSensorHelperFactoryBase::create(settings.sensorModel); if (!context_.camHelper) { LOG(IPARkISP1, Error) @@ -151,8 +169,8 @@ int IPARkISP1::init(const IPASettings &settings, unsigned int hwRevision, return -ENODEV; } - context_.configuration.sensor.lineDuration = sensorInfo.minLineLength - * 1.0s / sensorInfo.pixelRate; + context_.configuration.sensor.lineDuration = + sensorInfo.minLineLength * 1.0s / sensorInfo.pixelRate; /* Load the tuning data file. */ File file(settings.configurationFile); @@ -193,8 +211,7 @@ int IPARkISP1::init(const IPASettings &settings, unsigned int hwRevision, int IPARkISP1::start() { - setControls(0); - + /* \todo Properly handle startup controls. */ return 0; } @@ -226,6 +243,8 @@ int IPARkISP1::configure(const IPAConfigInfo &ipaConfig, context_.activeState = {}; context_.frameContexts.clear(); + context_.configuration.paramFormat = ipaConfig.paramFormat; + const IPACameraSensorInfo &info = ipaConfig.sensorInfo; const ControlInfo vBlank = sensorControls_.find(V4L2_CID_VBLANK)->second; context_.configuration.sensor.defVBlank = vBlank.def().get<int32_t>(); @@ -237,14 +256,14 @@ int IPARkISP1::configure(const IPAConfigInfo &ipaConfig, /* * When the AGC computes the new exposure values for a frame, it needs - * to know the limits for shutter speed and analogue gain. - * As it depends on the sensor, update it with the controls. + * to know the limits for exposure time and analogue gain. As it depends + * on the sensor, update it with the controls. * - * \todo take VBLANK into account for maximum shutter speed + * \todo take VBLANK into account for maximum exposure time */ - context_.configuration.sensor.minShutterSpeed = + context_.configuration.sensor.minExposureTime = minExposure * context_.configuration.sensor.lineDuration; - context_.configuration.sensor.maxShutterSpeed = + context_.configuration.sensor.maxExposureTime = maxExposure * context_.configuration.sensor.lineDuration; context_.configuration.sensor.minAnalogueGain = context_.camHelper->gain(minGain); @@ -307,6 +326,7 @@ void IPARkISP1::unmapBuffers(const std::vector<unsigned int> &ids) void IPARkISP1::queueRequest(const uint32_t frame, const ControlList &controls) { IPAFrameContext &frameContext = context_.frameContexts.alloc(frame); + context_.debugMetadata.enableByControl(controls); for (auto const &a : algorithms()) { Algorithm *algo = static_cast<Algorithm *>(a.get()); @@ -316,25 +336,21 @@ void IPARkISP1::queueRequest(const uint32_t frame, const ControlList &controls) } } -void IPARkISP1::fillParamsBuffer(const uint32_t frame, const uint32_t bufferId) +void IPARkISP1::computeParams(const uint32_t frame, const uint32_t bufferId) { IPAFrameContext &frameContext = context_.frameContexts.get(frame); - rkisp1_params_cfg *params = - reinterpret_cast<rkisp1_params_cfg *>( - mappedBuffers_.at(bufferId).planes()[0].data()); - - /* Prepare parameters buffer. */ - memset(params, 0, sizeof(*params)); + RkISP1Params params(context_.configuration.paramFormat, + mappedBuffers_.at(bufferId).planes()[0]); for (auto const &algo : algorithms()) - algo->prepare(context_, frame, frameContext, params); + algo->prepare(context_, frame, frameContext, ¶ms); - paramsBufferReady.emit(frame); + paramsComputed.emit(frame, params.size()); } -void IPARkISP1::processStatsBuffer(const uint32_t frame, const uint32_t bufferId, - const ControlList &sensorControls) +void IPARkISP1::processStats(const uint32_t frame, const uint32_t bufferId, + const ControlList &sensorControls) { IPAFrameContext &frameContext = context_.frameContexts.get(frame); @@ -363,6 +379,7 @@ void IPARkISP1::processStatsBuffer(const uint32_t frame, const uint32_t bufferId setControls(frame); + context_.debugMetadata.moveEntries(metadata); metadataReady.emit(frame, metadata); } @@ -417,9 +434,9 @@ void IPARkISP1::updateControls(const IPACameraSensorInfo &sensorInfo, frameDurations[i] = frameSize / (sensorInfo.pixelRate / 1000000U); } - ctrlMap[&controls::FrameDurationLimits] = ControlInfo(frameDurations[0], - frameDurations[1], - frameDurations[2]); + /* \todo Move this (and other agc-related controls) to agc */ + context_.ctrlMap[&controls::FrameDurationLimits] = + ControlInfo(frameDurations[0], frameDurations[1], frameDurations[2]); ctrlMap.insert(context_.ctrlMap.begin(), context_.ctrlMap.end()); *ipaControls = ControlInfoMap(std::move(ctrlMap), controls::controls); @@ -435,10 +452,16 @@ void IPARkISP1::setControls(unsigned int frame) IPAFrameContext &frameContext = context_.frameContexts.get(frame); uint32_t exposure = frameContext.agc.exposure; uint32_t gain = context_.camHelper->gainCode(frameContext.agc.gain); + uint32_t vblank = frameContext.agc.vblank; + + LOG(IPARkISP1, Debug) + << "Set controls for frame " << frame << ": exposure " << exposure + << ", gain " << frameContext.agc.gain << ", vblank " << vblank; ControlList ctrls(sensorControls_); ctrls.set(V4L2_CID_EXPOSURE, static_cast<int32_t>(exposure)); ctrls.set(V4L2_CID_ANALOGUE_GAIN, static_cast<int32_t>(gain)); + ctrls.set(V4L2_CID_VBLANK, static_cast<int32_t>(vblank)); setSensorControls.emit(frame, ctrls); } diff --git a/src/ipa/rpi/cam_helper/cam_helper.cpp b/src/ipa/rpi/cam_helper/cam_helper.cpp index ee5d011f..a78db9c1 100644 --- a/src/ipa/rpi/cam_helper/cam_helper.cpp +++ b/src/ipa/rpi/cam_helper/cam_helper.cpp @@ -156,17 +156,9 @@ void CamHelper::setCameraMode(const CameraMode &mode) } } -void CamHelper::getDelays(int &exposureDelay, int &gainDelay, - int &vblankDelay, int &hblankDelay) const +void CamHelper::setHwConfig(const Controller::HardwareConfig &hwConfig) { - /* - * These values are correct for many sensors. Other sensors will - * need to over-ride this function. - */ - exposureDelay = 2; - gainDelay = 1; - vblankDelay = 2; - hblankDelay = 2; + hwConfig_ = hwConfig; } bool CamHelper::sensorEmbeddedDataPresent() const @@ -241,7 +233,7 @@ void CamHelper::parseEmbeddedData(Span<const uint8_t> buffer, return; } - deviceStatus.shutterSpeed = parsedDeviceStatus.shutterSpeed; + deviceStatus.exposureTime = parsedDeviceStatus.exposureTime; deviceStatus.analogueGain = parsedDeviceStatus.analogueGain; deviceStatus.frameLength = parsedDeviceStatus.frameLength; deviceStatus.lineLength = parsedDeviceStatus.lineLength; diff --git a/src/ipa/rpi/cam_helper/cam_helper.h b/src/ipa/rpi/cam_helper/cam_helper.h index 4a4ab5e6..4a826690 100644 --- a/src/ipa/rpi/cam_helper/cam_helper.h +++ b/src/ipa/rpi/cam_helper/cam_helper.h @@ -36,11 +36,6 @@ namespace RPiController { * exposure time, and to convert between the sensor's gain codes and actual * gains. * - * A function to return the number of frames of delay between updating exposure, - * analogue gain and vblanking, and for the changes to take effect. For many - * sensors these take the values 2, 1 and 2 respectively, but sensors that are - * different will need to over-ride the default function provided. - * * A function to query if the sensor outputs embedded data that can be parsed. * * A function to return the sensitivity of a given camera mode. @@ -76,6 +71,7 @@ public: CamHelper(std::unique_ptr<MdParser> parser, unsigned int frameIntegrationDiff); virtual ~CamHelper(); void setCameraMode(const CameraMode &mode); + void setHwConfig(const Controller::HardwareConfig &hwConfig); virtual void prepare(libcamera::Span<const uint8_t> buffer, Metadata &metadata); virtual void process(StatisticsPtr &stats, Metadata &metadata); @@ -91,8 +87,6 @@ public: libcamera::utils::Duration lineLengthPckToDuration(uint32_t lineLengthPck) const; virtual uint32_t gainCode(double gain) const = 0; virtual double gain(uint32_t gainCode) const = 0; - virtual void getDelays(int &exposureDelay, int &gainDelay, - int &vblankDelay, int &hblankDelay) const; virtual bool sensorEmbeddedDataPresent() const; virtual double getModeSensitivity(const CameraMode &mode) const; virtual unsigned int hideFramesStartup() const; @@ -108,6 +102,7 @@ protected: std::unique_ptr<MdParser> parser_; CameraMode mode_; + Controller::HardwareConfig hwConfig_; private: /* diff --git a/src/ipa/rpi/cam_helper/cam_helper_imx219.cpp b/src/ipa/rpi/cam_helper/cam_helper_imx219.cpp index 91461f7a..ba01153e 100644 --- a/src/ipa/rpi/cam_helper/cam_helper_imx219.cpp +++ b/src/ipa/rpi/cam_helper/cam_helper_imx219.cpp @@ -99,7 +99,7 @@ void CamHelperImx219::populateMetadata(const MdParser::RegisterMap ®isters, deviceStatus.lineLength = lineLengthPckToDuration(registers.at(lineLengthHiReg) * 256 + registers.at(lineLengthLoReg)); - deviceStatus.shutterSpeed = exposure(registers.at(expHiReg) * 256 + registers.at(expLoReg), + deviceStatus.exposureTime = exposure(registers.at(expHiReg) * 256 + registers.at(expLoReg), deviceStatus.lineLength); deviceStatus.analogueGain = gain(registers.at(gainReg)); deviceStatus.frameLength = registers.at(frameLengthHiReg) * 256 + registers.at(frameLengthLoReg); diff --git a/src/ipa/rpi/cam_helper/cam_helper_imx283.cpp b/src/ipa/rpi/cam_helper/cam_helper_imx283.cpp new file mode 100644 index 00000000..efc03193 --- /dev/null +++ b/src/ipa/rpi/cam_helper/cam_helper_imx283.cpp @@ -0,0 +1,61 @@ +/* SPDX-License-Identifier: BSD-2-Clause */ +/* + * Copyright (C) 2024, Raspberry Pi Ltd + * + * cam_helper_Imx283.cpp - camera information for Imx283 sensor + */ + +#include <assert.h> + +#include "cam_helper.h" + +using namespace RPiController; + +class CamHelperImx283 : public CamHelper +{ +public: + CamHelperImx283(); + uint32_t gainCode(double gain) const override; + double gain(uint32_t gainCode) const override; + unsigned int hideFramesModeSwitch() const override; + +private: + /* + * Smallest difference between the frame length and integration time, + * in units of lines. + */ + static constexpr int frameIntegrationDiff = 4; +}; + +/* + * Imx283 doesn't output metadata, so we have to use the delayed controls which + * works by counting frames. + */ + +CamHelperImx283::CamHelperImx283() + : CamHelper({}, frameIntegrationDiff) +{ +} + +uint32_t CamHelperImx283::gainCode(double gain) const +{ + return static_cast<uint32_t>(2048.0 - 2048.0 / gain); +} + +double CamHelperImx283::gain(uint32_t gainCode) const +{ + return static_cast<double>(2048.0 / (2048 - gainCode)); +} + +unsigned int CamHelperImx283::hideFramesModeSwitch() const +{ + /* After a mode switch, we seem to get 1 bad frame. */ + return 1; +} + +static CamHelper *create() +{ + return new CamHelperImx283(); +} + +static RegisterCamHelper reg("imx283", &create); diff --git a/src/ipa/rpi/cam_helper/cam_helper_imx290.cpp b/src/ipa/rpi/cam_helper/cam_helper_imx290.cpp index 24275e12..c1aa8528 100644 --- a/src/ipa/rpi/cam_helper/cam_helper_imx290.cpp +++ b/src/ipa/rpi/cam_helper/cam_helper_imx290.cpp @@ -5,7 +5,7 @@ * camera helper for imx290 sensor */ -#include <math.h> +#include <cmath> #include "cam_helper.h" @@ -17,8 +17,6 @@ public: CamHelperImx290(); uint32_t gainCode(double gain) const override; double gain(uint32_t gainCode) const override; - void getDelays(int &exposureDelay, int &gainDelay, - int &vblankDelay, int &hblankDelay) const override; unsigned int hideFramesStartup() const override; unsigned int hideFramesModeSwitch() const override; @@ -37,22 +35,13 @@ CamHelperImx290::CamHelperImx290() uint32_t CamHelperImx290::gainCode(double gain) const { - int code = 66.6667 * log10(gain); + int code = 66.6667 * std::log10(gain); return std::max(0, std::min(code, 0xf0)); } double CamHelperImx290::gain(uint32_t gainCode) const { - return pow(10, 0.015 * gainCode); -} - -void CamHelperImx290::getDelays(int &exposureDelay, int &gainDelay, - int &vblankDelay, int &hblankDelay) const -{ - exposureDelay = 2; - gainDelay = 2; - vblankDelay = 2; - hblankDelay = 2; + return std::pow(10, 0.015 * gainCode); } unsigned int CamHelperImx290::hideFramesStartup() const @@ -73,3 +62,5 @@ static CamHelper *create() } static RegisterCamHelper reg("imx290", &create); +static RegisterCamHelper reg327("imx327", &create); +static RegisterCamHelper reg462("imx462", &create); diff --git a/src/ipa/rpi/cam_helper/cam_helper_imx296.cpp b/src/ipa/rpi/cam_helper/cam_helper_imx296.cpp index d4a4fa79..ac7ee2ea 100644 --- a/src/ipa/rpi/cam_helper/cam_helper_imx296.cpp +++ b/src/ipa/rpi/cam_helper/cam_helper_imx296.cpp @@ -23,8 +23,6 @@ public: double gain(uint32_t gainCode) const override; uint32_t exposureLines(const Duration exposure, const Duration lineLength) const override; Duration exposure(uint32_t exposureLines, const Duration lineLength) const override; - void getDelays(int &exposureDelay, int &gainDelay, - int &vblankDelay, int &hblankDelay) const override; private: static constexpr uint32_t minExposureLines = 1; @@ -66,15 +64,6 @@ Duration CamHelperImx296::exposure(uint32_t exposureLines, return std::max<uint32_t>(minExposureLines, exposureLines) * timePerLine + 14.26us; } -void CamHelperImx296::getDelays(int &exposureDelay, int &gainDelay, - int &vblankDelay, int &hblankDelay) const -{ - exposureDelay = 2; - gainDelay = 2; - vblankDelay = 2; - hblankDelay = 2; -} - static CamHelper *create() { return new CamHelperImx296(); diff --git a/src/ipa/rpi/cam_helper/cam_helper_imx415.cpp b/src/ipa/rpi/cam_helper/cam_helper_imx415.cpp new file mode 100644 index 00000000..c0a09eee --- /dev/null +++ b/src/ipa/rpi/cam_helper/cam_helper_imx415.cpp @@ -0,0 +1,64 @@ +/* SPDX-License-Identifier: BSD-2-Clause */ +/* + * Copyright (C) 2025, Raspberry Pi Ltd + * + * camera helper for imx415 sensor + */ + +#include <cmath> + +#include "cam_helper.h" + +using namespace RPiController; + +class CamHelperImx415 : public CamHelper +{ +public: + CamHelperImx415(); + uint32_t gainCode(double gain) const override; + double gain(uint32_t gainCode) const override; + unsigned int hideFramesStartup() const override; + unsigned int hideFramesModeSwitch() const override; + +private: + /* + * Smallest difference between the frame length and integration time, + * in units of lines. + */ + static constexpr int frameIntegrationDiff = 8; +}; + +CamHelperImx415::CamHelperImx415() + : CamHelper({}, frameIntegrationDiff) +{ +} + +uint32_t CamHelperImx415::gainCode(double gain) const +{ + int code = 66.6667 * std::log10(gain); + return std::max(0, std::min(code, 0xf0)); +} + +double CamHelperImx415::gain(uint32_t gainCode) const +{ + return std::pow(10, 0.015 * gainCode); +} + +unsigned int CamHelperImx415::hideFramesStartup() const +{ + /* On startup, we seem to get 1 bad frame. */ + return 1; +} + +unsigned int CamHelperImx415::hideFramesModeSwitch() const +{ + /* After a mode switch, we seem to get 1 bad frame. */ + return 1; +} + +static CamHelper *create() +{ + return new CamHelperImx415(); +} + +static RegisterCamHelper reg("imx415", &create); diff --git a/src/ipa/rpi/cam_helper/cam_helper_imx477.cpp b/src/ipa/rpi/cam_helper/cam_helper_imx477.cpp index 6bd89334..a72ac67d 100644 --- a/src/ipa/rpi/cam_helper/cam_helper_imx477.cpp +++ b/src/ipa/rpi/cam_helper/cam_helper_imx477.cpp @@ -51,8 +51,6 @@ public: void prepare(libcamera::Span<const uint8_t> buffer, Metadata &metadata) override; std::pair<uint32_t, uint32_t> getBlanking(Duration &exposure, Duration minFrameDuration, Duration maxFrameDuration) const override; - void getDelays(int &exposureDelay, int &gainDelay, - int &vblankDelay, int &hblankDelay) const override; bool sensorEmbeddedDataPresent() const override; private: @@ -112,7 +110,7 @@ void CamHelperImx477::prepare(libcamera::Span<const uint8_t> buffer, Metadata &m DeviceStatus parsedDeviceStatus; metadata.get("device.status", parsedDeviceStatus); - parsedDeviceStatus.shutterSpeed = deviceStatus.shutterSpeed; + parsedDeviceStatus.exposureTime = deviceStatus.exposureTime; parsedDeviceStatus.frameLength = deviceStatus.frameLength; metadata.set("device.status", parsedDeviceStatus); @@ -159,15 +157,6 @@ std::pair<uint32_t, uint32_t> CamHelperImx477::getBlanking(Duration &exposure, return { frameLength - mode_.height, hblank }; } -void CamHelperImx477::getDelays(int &exposureDelay, int &gainDelay, - int &vblankDelay, int &hblankDelay) const -{ - exposureDelay = 2; - gainDelay = 2; - vblankDelay = 3; - hblankDelay = 3; -} - bool CamHelperImx477::sensorEmbeddedDataPresent() const { return true; @@ -180,7 +169,7 @@ void CamHelperImx477::populateMetadata(const MdParser::RegisterMap ®isters, deviceStatus.lineLength = lineLengthPckToDuration(registers.at(lineLengthHiReg) * 256 + registers.at(lineLengthLoReg)); - deviceStatus.shutterSpeed = exposure(registers.at(expHiReg) * 256 + registers.at(expLoReg), + deviceStatus.exposureTime = exposure(registers.at(expHiReg) * 256 + registers.at(expLoReg), deviceStatus.lineLength); deviceStatus.analogueGain = gain(registers.at(gainHiReg) * 256 + registers.at(gainLoReg)); deviceStatus.frameLength = registers.at(frameLengthHiReg) * 256 + registers.at(frameLengthLoReg); diff --git a/src/ipa/rpi/cam_helper/cam_helper_imx519.cpp b/src/ipa/rpi/cam_helper/cam_helper_imx519.cpp index c2de3d40..10cbea48 100644 --- a/src/ipa/rpi/cam_helper/cam_helper_imx519.cpp +++ b/src/ipa/rpi/cam_helper/cam_helper_imx519.cpp @@ -51,8 +51,6 @@ public: void prepare(libcamera::Span<const uint8_t> buffer, Metadata &metadata) override; std::pair<uint32_t, uint32_t> getBlanking(Duration &exposure, Duration minFrameDuration, Duration maxFrameDuration) const override; - void getDelays(int &exposureDelay, int &gainDelay, - int &vblankDelay, int &hblankDelay) const override; bool sensorEmbeddedDataPresent() const override; private: @@ -112,7 +110,7 @@ void CamHelperImx519::prepare(libcamera::Span<const uint8_t> buffer, Metadata &m DeviceStatus parsedDeviceStatus; metadata.get("device.status", parsedDeviceStatus); - parsedDeviceStatus.shutterSpeed = deviceStatus.shutterSpeed; + parsedDeviceStatus.exposureTime = deviceStatus.exposureTime; parsedDeviceStatus.frameLength = deviceStatus.frameLength; metadata.set("device.status", parsedDeviceStatus); @@ -159,15 +157,6 @@ std::pair<uint32_t, uint32_t> CamHelperImx519::getBlanking(Duration &exposure, return { frameLength - mode_.height, hblank }; } -void CamHelperImx519::getDelays(int &exposureDelay, int &gainDelay, - int &vblankDelay, int &hblankDelay) const -{ - exposureDelay = 2; - gainDelay = 2; - vblankDelay = 3; - hblankDelay = 3; -} - bool CamHelperImx519::sensorEmbeddedDataPresent() const { return true; @@ -180,7 +169,7 @@ void CamHelperImx519::populateMetadata(const MdParser::RegisterMap ®isters, deviceStatus.lineLength = lineLengthPckToDuration(registers.at(lineLengthHiReg) * 256 + registers.at(lineLengthLoReg)); - deviceStatus.shutterSpeed = exposure(registers.at(expHiReg) * 256 + registers.at(expLoReg), + deviceStatus.exposureTime = exposure(registers.at(expHiReg) * 256 + registers.at(expLoReg), deviceStatus.lineLength); deviceStatus.analogueGain = gain(registers.at(gainHiReg) * 256 + registers.at(gainLoReg)); deviceStatus.frameLength = registers.at(frameLengthHiReg) * 256 + registers.at(frameLengthLoReg); diff --git a/src/ipa/rpi/cam_helper/cam_helper_imx708.cpp b/src/ipa/rpi/cam_helper/cam_helper_imx708.cpp index 63ddb55e..6150909c 100644 --- a/src/ipa/rpi/cam_helper/cam_helper_imx708.cpp +++ b/src/ipa/rpi/cam_helper/cam_helper_imx708.cpp @@ -54,8 +54,6 @@ public: void process(StatisticsPtr &stats, Metadata &metadata) override; std::pair<uint32_t, uint32_t> getBlanking(Duration &exposure, Duration minFrameDuration, Duration maxFrameDuration) const override; - void getDelays(int &exposureDelay, int &gainDelay, - int &vblankDelay, int &hblankDelay) const override; bool sensorEmbeddedDataPresent() const override; double getModeSensitivity(const CameraMode &mode) const override; unsigned int hideFramesModeSwitch() const override; @@ -66,7 +64,7 @@ private: * Smallest difference between the frame length and integration time, * in units of lines. */ - static constexpr int frameIntegrationDiff = 22; + static constexpr int frameIntegrationDiff = 48; /* Maximum frame length allowable for long exposure calculations. */ static constexpr int frameLengthMax = 0xffdc; /* Largest long exposure scale factor given as a left shift on the frame length. */ @@ -155,7 +153,7 @@ void CamHelperImx708::prepare(libcamera::Span<const uint8_t> buffer, Metadata &m DeviceStatus parsedDeviceStatus; metadata.get("device.status", parsedDeviceStatus); - parsedDeviceStatus.shutterSpeed = deviceStatus.shutterSpeed; + parsedDeviceStatus.exposureTime = deviceStatus.exposureTime; parsedDeviceStatus.frameLength = deviceStatus.frameLength; metadata.set("device.status", parsedDeviceStatus); @@ -208,15 +206,6 @@ std::pair<uint32_t, uint32_t> CamHelperImx708::getBlanking(Duration &exposure, return { frameLength - mode_.height, hblank }; } -void CamHelperImx708::getDelays(int &exposureDelay, int &gainDelay, - int &vblankDelay, int &hblankDelay) const -{ - exposureDelay = 2; - gainDelay = 2; - vblankDelay = 3; - hblankDelay = 3; -} - bool CamHelperImx708::sensorEmbeddedDataPresent() const { return true; @@ -255,7 +244,7 @@ void CamHelperImx708::populateMetadata(const MdParser::RegisterMap ®isters, deviceStatus.lineLength = lineLengthPckToDuration(registers.at(lineLengthHiReg) * 256 + registers.at(lineLengthLoReg)); - deviceStatus.shutterSpeed = exposure(registers.at(expHiReg) * 256 + registers.at(expLoReg), + deviceStatus.exposureTime = exposure(registers.at(expHiReg) * 256 + registers.at(expLoReg), deviceStatus.lineLength); deviceStatus.analogueGain = gain(registers.at(gainHiReg) * 256 + registers.at(gainLoReg)); deviceStatus.frameLength = registers.at(frameLengthHiReg) * 256 + registers.at(frameLengthLoReg); diff --git a/src/ipa/rpi/cam_helper/cam_helper_ov5647.cpp b/src/ipa/rpi/cam_helper/cam_helper_ov5647.cpp index c30b017c..40d6b6d7 100644 --- a/src/ipa/rpi/cam_helper/cam_helper_ov5647.cpp +++ b/src/ipa/rpi/cam_helper/cam_helper_ov5647.cpp @@ -17,8 +17,6 @@ public: CamHelperOv5647(); uint32_t gainCode(double gain) const override; double gain(uint32_t gainCode) const override; - void getDelays(int &exposureDelay, int &gainDelay, - int &vblankDelay, int &hblankDelay) const override; unsigned int hideFramesStartup() const override; unsigned int hideFramesModeSwitch() const override; unsigned int mistrustFramesStartup() const override; @@ -52,19 +50,6 @@ double CamHelperOv5647::gain(uint32_t gainCode) const return static_cast<double>(gainCode) / 16.0; } -void CamHelperOv5647::getDelays(int &exposureDelay, int &gainDelay, - int &vblankDelay, int &hblankDelay) const -{ - /* - * We run this sensor in a mode where the gain delay is bumped up to - * 2. It seems to be the only way to make the delays "predictable". - */ - exposureDelay = 2; - gainDelay = 2; - vblankDelay = 2; - hblankDelay = 2; -} - unsigned int CamHelperOv5647::hideFramesStartup() const { /* diff --git a/src/ipa/rpi/cam_helper/cam_helper_ov64a40.cpp b/src/ipa/rpi/cam_helper/cam_helper_ov64a40.cpp index a8efd389..980495a8 100644 --- a/src/ipa/rpi/cam_helper/cam_helper_ov64a40.cpp +++ b/src/ipa/rpi/cam_helper/cam_helper_ov64a40.cpp @@ -18,8 +18,6 @@ public: CamHelperOv64a40(); uint32_t gainCode(double gain) const override; double gain(uint32_t gainCode) const override; - void getDelays(int &exposureDelay, int &gainDelay, - int &vblankDelay, int &hblankDelay) const override; double getModeSensitivity(const CameraMode &mode) const override; private: @@ -45,16 +43,6 @@ double CamHelperOv64a40::gain(uint32_t gainCode) const return static_cast<double>(gainCode) / 128.0; } -void CamHelperOv64a40::getDelays(int &exposureDelay, int &gainDelay, - int &vblankDelay, int &hblankDelay) const -{ - /* The driver appears to behave as follows: */ - exposureDelay = 2; - gainDelay = 2; - vblankDelay = 2; - hblankDelay = 2; -} - double CamHelperOv64a40::getModeSensitivity(const CameraMode &mode) const { if (mode.binX >= 2 && mode.scaleX >= 4) { diff --git a/src/ipa/rpi/cam_helper/cam_helper_ov7251.cpp b/src/ipa/rpi/cam_helper/cam_helper_ov7251.cpp new file mode 100644 index 00000000..fc7b999f --- /dev/null +++ b/src/ipa/rpi/cam_helper/cam_helper_ov7251.cpp @@ -0,0 +1,54 @@ +/* SPDX-License-Identifier: BSD-2-Clause */ +/* + * Copyright (C) 2021, Raspberry Pi Ltd + * + * camera information for ov7251 sensor + */ + +#include <assert.h> + +#include "cam_helper.h" + +using namespace RPiController; + +class CamHelperOv7251 : public CamHelper +{ +public: + CamHelperOv7251(); + uint32_t gainCode(double gain) const override; + double gain(uint32_t gainCode) const override; + +private: + /* + * Smallest difference between the frame length and integration time, + * in units of lines. + */ + static constexpr int frameIntegrationDiff = 4; +}; + +/* + * OV7251 doesn't output metadata, so we have to use the "unicam parser" which + * works by counting frames. + */ + +CamHelperOv7251::CamHelperOv7251() + : CamHelper({}, frameIntegrationDiff) +{ +} + +uint32_t CamHelperOv7251::gainCode(double gain) const +{ + return static_cast<uint32_t>(gain * 16.0); +} + +double CamHelperOv7251::gain(uint32_t gainCode) const +{ + return static_cast<double>(gainCode) / 16.0; +} + +static CamHelper *create() +{ + return new CamHelperOv7251(); +} + +static RegisterCamHelper reg("ov7251", &create); diff --git a/src/ipa/rpi/cam_helper/cam_helper_ov9281.cpp b/src/ipa/rpi/cam_helper/cam_helper_ov9281.cpp index a65c8ac0..e93a4691 100644 --- a/src/ipa/rpi/cam_helper/cam_helper_ov9281.cpp +++ b/src/ipa/rpi/cam_helper/cam_helper_ov9281.cpp @@ -17,15 +17,13 @@ public: CamHelperOv9281(); uint32_t gainCode(double gain) const override; double gain(uint32_t gainCode) const override; - void getDelays(int &exposureDelay, int &gainDelay, - int &vblankDelay, int &hblankDelay) const override; private: /* * Smallest difference between the frame length and integration time, * in units of lines. */ - static constexpr int frameIntegrationDiff = 4; + static constexpr int frameIntegrationDiff = 25; }; /* @@ -48,16 +46,6 @@ double CamHelperOv9281::gain(uint32_t gainCode) const return static_cast<double>(gainCode) / 16.0; } -void CamHelperOv9281::getDelays(int &exposureDelay, int &gainDelay, - int &vblankDelay, int &hblankDelay) const -{ - /* The driver appears to behave as follows: */ - exposureDelay = 2; - gainDelay = 2; - vblankDelay = 2; - hblankDelay = 2; -} - static CamHelper *create() { return new CamHelperOv9281(); diff --git a/src/ipa/rpi/cam_helper/meson.build b/src/ipa/rpi/cam_helper/meson.build index 72625057..abf02147 100644 --- a/src/ipa/rpi/cam_helper/meson.build +++ b/src/ipa/rpi/cam_helper/meson.build @@ -4,12 +4,15 @@ rpi_ipa_cam_helper_sources = files([ 'cam_helper.cpp', 'cam_helper_ov5647.cpp', 'cam_helper_imx219.cpp', + 'cam_helper_imx283.cpp', 'cam_helper_imx290.cpp', 'cam_helper_imx296.cpp', + 'cam_helper_imx415.cpp', 'cam_helper_imx477.cpp', 'cam_helper_imx519.cpp', 'cam_helper_imx708.cpp', 'cam_helper_ov64a40.cpp', + 'cam_helper_ov7251.cpp', 'cam_helper_ov9281.cpp', 'md_parser_smia.cpp', ]) diff --git a/src/ipa/rpi/common/ipa_base.cpp b/src/ipa/rpi/common/ipa_base.cpp index ee3848b5..6734c32e 100644 --- a/src/ipa/rpi/common/ipa_base.cpp +++ b/src/ipa/rpi/common/ipa_base.cpp @@ -55,9 +55,19 @@ constexpr Duration controllerMinFrameDuration = 1.0s / 30.0; /* List of controls handled by the Raspberry Pi IPA */ const ControlInfoMap::Map ipaControls{ - { &controls::AeEnable, ControlInfo(false, true) }, - { &controls::ExposureTime, ControlInfo(0, 66666) }, - { &controls::AnalogueGain, ControlInfo(1.0f, 16.0f) }, + /* \todo Move this to the Camera class */ + { &controls::AeEnable, ControlInfo(false, true, true) }, + { &controls::ExposureTimeMode, + ControlInfo(static_cast<int32_t>(controls::ExposureTimeModeAuto), + static_cast<int32_t>(controls::ExposureTimeModeManual), + static_cast<int32_t>(controls::ExposureTimeModeAuto)) }, + { &controls::ExposureTime, + ControlInfo(1, 66666, static_cast<int32_t>(defaultExposureTime.get<std::micro>())) }, + { &controls::AnalogueGainMode, + ControlInfo(static_cast<int32_t>(controls::AnalogueGainModeAuto), + static_cast<int32_t>(controls::AnalogueGainModeManual), + static_cast<int32_t>(controls::AnalogueGainModeAuto)) }, + { &controls::AnalogueGain, ControlInfo(1.0f, 16.0f, 1.0f) }, { &controls::AeMeteringMode, ControlInfo(controls::AeMeteringModeValues) }, { &controls::AeConstraintMode, ControlInfo(controls::AeConstraintModeValues) }, { &controls::AeExposureMode, ControlInfo(controls::AeExposureModeValues) }, @@ -71,7 +81,9 @@ const ControlInfoMap::Map ipaControls{ { &controls::HdrMode, ControlInfo(controls::HdrModeValues) }, { &controls::Sharpness, ControlInfo(0.0f, 16.0f, 1.0f) }, { &controls::ScalerCrop, ControlInfo(Rectangle{}, Rectangle(65535, 65535, 65535, 65535), Rectangle{}) }, - { &controls::FrameDurationLimits, ControlInfo(INT64_C(33333), INT64_C(120000)) }, + { &controls::FrameDurationLimits, + ControlInfo(INT64_C(33333), INT64_C(120000), + static_cast<int64_t>(defaultMinFrameDuration.get<std::micro>())) }, { &controls::draft::NoiseReductionMode, ControlInfo(controls::draft::NoiseReductionModeValues) }, { &controls::rpi::StatsOutputEnable, ControlInfo(false, true, false) }, }; @@ -81,6 +93,7 @@ const ControlInfoMap::Map ipaColourControls{ { &controls::AwbEnable, ControlInfo(false, true) }, { &controls::AwbMode, ControlInfo(controls::AwbModeValues) }, { &controls::ColourGains, ControlInfo(0.0f, 32.0f) }, + { &controls::ColourTemperature, ControlInfo(100, 100000) }, { &controls::Saturation, ControlInfo(0.0f, 32.0f, 1.0f) }, }; @@ -96,6 +109,13 @@ const ControlInfoMap::Map ipaAfControls{ { &controls::LensPosition, ControlInfo(0.0f, 32.0f, 1.0f) } }; +/* Platform specific controls */ +const std::map<const std::string, ControlInfoMap::Map> platformControls { + { "pisp", { + { &controls::rpi::ScalerCrops, ControlInfo(Rectangle{}, Rectangle(65535, 65535, 65535, 65535), Rectangle{}) } + } }, +}; + } /* namespace */ LOG_DEFINE_CATEGORY(IPARPI) @@ -127,18 +147,8 @@ int32_t IpaBase::init(const IPASettings &settings, const InitParams ¶ms, Ini return -EINVAL; } - /* - * Pass out the sensor config to the pipeline handler in order - * to setup the staggered writer class. - */ - int gainDelay, exposureDelay, vblankDelay, hblankDelay, sensorMetadata; - helper_->getDelays(exposureDelay, gainDelay, vblankDelay, hblankDelay); - sensorMetadata = helper_->sensorEmbeddedDataPresent(); - - result->sensorConfig.gainDelay = gainDelay; - result->sensorConfig.exposureDelay = exposureDelay; - result->sensorConfig.vblankDelay = vblankDelay; - result->sensorConfig.hblankDelay = hblankDelay; + /* Pass out the sensor metadata to the pipeline handler */ + int sensorMetadata = helper_->sensorEmbeddedDataPresent(); result->sensorConfig.sensorMetadata = sensorMetadata; /* Load the tuning file for this sensor. */ @@ -153,12 +163,17 @@ int32_t IpaBase::init(const IPASettings &settings, const InitParams ¶ms, Ini lensPresent_ = params.lensPresent; controller_.initialise(); + helper_->setHwConfig(controller_.getHardwareConfig()); /* Return the controls handled by the IPA */ ControlInfoMap::Map ctrlMap = ipaControls; if (lensPresent_) ctrlMap.merge(ControlInfoMap::Map(ipaAfControls)); + auto platformCtrlsIt = platformControls.find(controller_.getTarget()); + if (platformCtrlsIt != platformControls.end()) + ctrlMap.merge(ControlInfoMap::Map(platformCtrlsIt->second)); + monoSensor_ = params.sensorInfo.cfaPattern == properties::draft::ColorFilterArrangementEnum::MONO; if (!monoSensor_) ctrlMap.merge(ControlInfoMap::Map(ipaColourControls)); @@ -213,7 +228,7 @@ int32_t IpaBase::configure(const IPACameraSensorInfo &sensorInfo, const ConfigPa /* Supply initial values for gain and exposure. */ AgcStatus agcStatus; - agcStatus.shutterTime = defaultExposureTime; + agcStatus.exposureTime = defaultExposureTime; agcStatus.analogueGain = defaultAnalogueGain; applyAGC(&agcStatus, ctrls); @@ -247,15 +262,18 @@ int32_t IpaBase::configure(const IPACameraSensorInfo &sensorInfo, const ConfigPa ControlInfoMap::Map ctrlMap = ipaControls; ctrlMap[&controls::FrameDurationLimits] = ControlInfo(static_cast<int64_t>(mode_.minFrameDuration.get<std::micro>()), - static_cast<int64_t>(mode_.maxFrameDuration.get<std::micro>())); + static_cast<int64_t>(mode_.maxFrameDuration.get<std::micro>()), + static_cast<int64_t>(defaultMinFrameDuration.get<std::micro>())); ctrlMap[&controls::AnalogueGain] = ControlInfo(static_cast<float>(mode_.minAnalogueGain), - static_cast<float>(mode_.maxAnalogueGain)); + static_cast<float>(mode_.maxAnalogueGain), + static_cast<float>(defaultAnalogueGain)); ctrlMap[&controls::ExposureTime] = - ControlInfo(static_cast<int32_t>(mode_.minShutter.get<std::micro>()), - static_cast<int32_t>(mode_.maxShutter.get<std::micro>())); + ControlInfo(static_cast<int32_t>(mode_.minExposureTime.get<std::micro>()), + static_cast<int32_t>(mode_.maxExposureTime.get<std::micro>()), + static_cast<int32_t>(defaultExposureTime.get<std::micro>())); /* Declare colour processing related controls for non-mono sensors. */ if (!monoSensor_) @@ -288,11 +306,11 @@ void IpaBase::start(const ControlList &controls, StartResult *result) /* SwitchMode may supply updated exposure/gain values to use. */ AgcStatus agcStatus; - agcStatus.shutterTime = 0.0s; + agcStatus.exposureTime = 0.0s; agcStatus.analogueGain = 0.0; metadata.get("agc.status", agcStatus); - if (agcStatus.shutterTime && agcStatus.analogueGain) { + if (agcStatus.exposureTime && agcStatus.analogueGain) { ControlList ctrls(sensorCtrls_); applyAGC(&agcStatus, ctrls); result->controls = std::move(ctrls); @@ -588,7 +606,7 @@ void IpaBase::setMode(const IPACameraSensorInfo &sensorInfo) mode_.sensitivity = helper_->getModeSensitivity(mode_); const ControlInfo &gainCtrl = sensorCtrls_.at(V4L2_CID_ANALOGUE_GAIN); - const ControlInfo &shutterCtrl = sensorCtrls_.at(V4L2_CID_EXPOSURE); + const ControlInfo &exposureTimeCtrl = sensorCtrls_.at(V4L2_CID_EXPOSURE); mode_.minAnalogueGain = helper_->gain(gainCtrl.min().get<int32_t>()); mode_.maxAnalogueGain = helper_->gain(gainCtrl.max().get<int32_t>()); @@ -599,11 +617,15 @@ void IpaBase::setMode(const IPACameraSensorInfo &sensorInfo) */ helper_->setCameraMode(mode_); - /* Shutter speed is calculated based on the limits of the frame durations. */ - mode_.minShutter = helper_->exposure(shutterCtrl.min().get<int32_t>(), mode_.minLineLength); - mode_.maxShutter = Duration::max(); - helper_->getBlanking(mode_.maxShutter, - mode_.minFrameDuration, mode_.maxFrameDuration); + /* + * Exposure time is calculated based on the limits of the frame + * durations. + */ + mode_.minExposureTime = helper_->exposure(exposureTimeCtrl.min().get<int32_t>(), + mode_.minLineLength); + mode_.maxExposureTime = Duration::max(); + helper_->getBlanking(mode_.maxExposureTime, mode_.minFrameDuration, + mode_.maxFrameDuration); } void IpaBase::setCameraTimeoutValue() @@ -742,6 +764,42 @@ void IpaBase::applyControls(const ControlList &controls) af->setMode(mode->second); } + /* + * Because some AE controls are mode-specific, handle the AE-related + * mode changes first. + */ + const auto analogueGainMode = controls.get(controls::AnalogueGainMode); + const auto exposureTimeMode = controls.get(controls::ExposureTimeMode); + + if (analogueGainMode || exposureTimeMode) { + RPiController::AgcAlgorithm *agc = dynamic_cast<RPiController::AgcAlgorithm *>( + controller_.getAlgorithm("agc")); + if (agc) { + if (analogueGainMode) { + if (*analogueGainMode == controls::AnalogueGainModeManual) + agc->disableAutoGain(); + else + agc->enableAutoGain(); + + libcameraMetadata_.set(controls::AnalogueGainMode, + *analogueGainMode); + } + + if (exposureTimeMode) { + if (*exposureTimeMode == controls::ExposureTimeModeManual) + agc->disableAutoExposure(); + else + agc->enableAutoExposure(); + + libcameraMetadata_.set(controls::ExposureTimeMode, + *exposureTimeMode); + } + } else { + LOG(IPARPI, Warning) + << "Could not set AnalogueGainMode or ExposureTimeMode - no AGC algorithm"; + } + } + /* Iterate over controls */ for (auto const &ctrl : controls) { LOG(IPARPI, Debug) << "Request ctrl: " @@ -749,23 +807,8 @@ void IpaBase::applyControls(const ControlList &controls) << " = " << ctrl.second.toString(); switch (ctrl.first) { - case controls::AE_ENABLE: { - RPiController::AgcAlgorithm *agc = dynamic_cast<RPiController::AgcAlgorithm *>( - controller_.getAlgorithm("agc")); - if (!agc) { - LOG(IPARPI, Warning) - << "Could not set AE_ENABLE - no AGC algorithm"; - break; - } - - if (ctrl.second.get<bool>() == false) - agc->disableAuto(); - else - agc->enableAuto(); - - libcameraMetadata_.set(controls::AeEnable, ctrl.second.get<bool>()); - break; - } + case controls::EXPOSURE_TIME_MODE: + break; /* We already handled this one above */ case controls::EXPOSURE_TIME: { RPiController::AgcAlgorithm *agc = dynamic_cast<RPiController::AgcAlgorithm *>( @@ -776,13 +819,23 @@ void IpaBase::applyControls(const ControlList &controls) break; } + /* + * Ignore manual exposure time when the auto exposure + * algorithm is running. + */ + if (agc->autoExposureEnabled()) + break; + /* The control provides units of microseconds. */ - agc->setFixedShutter(0, ctrl.second.get<int32_t>() * 1.0us); + agc->setFixedExposureTime(0, ctrl.second.get<int32_t>() * 1.0us); libcameraMetadata_.set(controls::ExposureTime, ctrl.second.get<int32_t>()); break; } + case controls::ANALOGUE_GAIN_MODE: + break; /* We already handled this one above */ + case controls::ANALOGUE_GAIN: { RPiController::AgcAlgorithm *agc = dynamic_cast<RPiController::AgcAlgorithm *>( controller_.getAlgorithm("agc")); @@ -792,6 +845,13 @@ void IpaBase::applyControls(const ControlList &controls) break; } + /* + * Ignore manual analogue gain value when the auto gain + * algorithm is running. + */ + if (agc->autoGainEnabled()) + break; + agc->setFixedAnalogueGain(0, ctrl.second.get<float>()); libcameraMetadata_.set(controls::AnalogueGain, @@ -848,6 +908,13 @@ void IpaBase::applyControls(const ControlList &controls) break; } + /* + * Ignore AE_EXPOSURE_MODE if the shutter or the gain + * are in auto mode. + */ + if (agc->autoExposureEnabled() || agc->autoGainEnabled()) + break; + int32_t idx = ctrl.second.get<int32_t>(); if (ExposureModeTable.count(idx)) { agc->setExposureMode(ExposureModeTable.at(idx)); @@ -1006,6 +1073,25 @@ void IpaBase::applyControls(const ControlList &controls) break; } + case controls::COLOUR_TEMPERATURE: { + /* Silently ignore this control for a mono sensor. */ + if (monoSensor_) + break; + + auto temperatureK = ctrl.second.get<int32_t>(); + RPiController::AwbAlgorithm *awb = dynamic_cast<RPiController::AwbAlgorithm *>( + controller_.getAlgorithm("awb")); + if (!awb) { + LOG(IPARPI, Warning) + << "Could not set COLOUR_TEMPERATURE - no AWB algorithm"; + break; + } + + awb->setColourTemperature(temperatureK); + /* This metadata will get reported back automatically. */ + break; + } + case controls::BRIGHTNESS: { RPiController::ContrastAlgorithm *contrast = dynamic_cast<RPiController::ContrastAlgorithm *>( controller_.getAlgorithm("contrast")); @@ -1070,6 +1156,7 @@ void IpaBase::applyControls(const ControlList &controls) break; } + case controls::rpi::SCALER_CROPS: case controls::SCALER_CROP: { /* We do nothing with this, but should avoid the warning below. */ break; @@ -1269,7 +1356,7 @@ void IpaBase::fillDeviceStatus(const ControlList &sensorControls, unsigned int i int32_t hblank = sensorControls.get(V4L2_CID_HBLANK).get<int32_t>(); deviceStatus.lineLength = helper_->hblankToLineLength(hblank); - deviceStatus.shutterSpeed = helper_->exposure(exposureLines, deviceStatus.lineLength); + deviceStatus.exposureTime = helper_->exposure(exposureLines, deviceStatus.lineLength); deviceStatus.analogueGain = helper_->gain(gainCode); deviceStatus.frameLength = mode_.height + vblank; @@ -1296,7 +1383,7 @@ void IpaBase::reportMetadata(unsigned int ipaContext) DeviceStatus *deviceStatus = rpiMetadata.getLocked<DeviceStatus>("device.status"); if (deviceStatus) { libcameraMetadata_.set(controls::ExposureTime, - deviceStatus->shutterSpeed.get<std::micro>()); + deviceStatus->exposureTime.get<std::micro>()); libcameraMetadata_.set(controls::AnalogueGain, deviceStatus->analogueGain); libcameraMetadata_.set(controls::FrameDuration, helper_->exposure(deviceStatus->frameLength, deviceStatus->lineLength).get<std::micro>()); @@ -1307,9 +1394,19 @@ void IpaBase::reportMetadata(unsigned int ipaContext) } AgcPrepareStatus *agcPrepareStatus = rpiMetadata.getLocked<AgcPrepareStatus>("agc.prepare_status"); - if (agcPrepareStatus) { - libcameraMetadata_.set(controls::AeLocked, agcPrepareStatus->locked); + if (agcPrepareStatus) libcameraMetadata_.set(controls::DigitalGain, agcPrepareStatus->digitalGain); + + RPiController::AgcAlgorithm *agc = dynamic_cast<RPiController::AgcAlgorithm *>( + controller_.getAlgorithm("agc")); + if (agc) { + if (!agc->autoExposureEnabled() && !agc->autoGainEnabled()) + libcameraMetadata_.set(controls::AeState, controls::AeStateIdle); + else if (agcPrepareStatus) + libcameraMetadata_.set(controls::AeState, + agcPrepareStatus->locked + ? controls::AeStateConverged + : controls::AeStateSearching); } LuxStatus *luxStatus = rpiMetadata.getLocked<LuxStatus>("lux.status"); @@ -1447,15 +1544,15 @@ void IpaBase::applyFrameDurations(Duration minFrameDuration, Duration maxFrameDu /* * Calculate the maximum exposure time possible for the AGC to use. - * getBlanking() will update maxShutter with the largest exposure + * getBlanking() will update maxExposureTime with the largest exposure * value possible. */ - Duration maxShutter = Duration::max(); - helper_->getBlanking(maxShutter, minFrameDuration_, maxFrameDuration_); + Duration maxExposureTime = Duration::max(); + helper_->getBlanking(maxExposureTime, minFrameDuration_, maxFrameDuration_); RPiController::AgcAlgorithm *agc = dynamic_cast<RPiController::AgcAlgorithm *>( controller_.getAlgorithm("agc")); - agc->setMaxShutter(maxShutter); + agc->setMaxExposureTime(maxExposureTime); } void IpaBase::applyAGC(const struct AgcStatus *agcStatus, ControlList &ctrls) @@ -1472,14 +1569,14 @@ void IpaBase::applyAGC(const struct AgcStatus *agcStatus, ControlList &ctrls) gainCode = std::clamp<int32_t>(gainCode, minGainCode, maxGainCode); /* getBlanking might clip exposure time to the fps limits. */ - Duration exposure = agcStatus->shutterTime; + Duration exposure = agcStatus->exposureTime; auto [vblank, hblank] = helper_->getBlanking(exposure, minFrameDuration_, maxFrameDuration_); int32_t exposureLines = helper_->exposureLines(exposure, helper_->hblankToLineLength(hblank)); LOG(IPARPI, Debug) << "Applying AGC Exposure: " << exposure - << " (Shutter lines: " << exposureLines << ", AGC requested " - << agcStatus->shutterTime << ") Gain: " + << " (Exposure lines: " << exposureLines << ", AGC requested " + << agcStatus->exposureTime << ") Gain: " << agcStatus->analogueGain << " (Gain Code: " << gainCode << ")"; diff --git a/src/ipa/rpi/controller/agc_algorithm.h b/src/ipa/rpi/controller/agc_algorithm.h index 1132de7e..fdaa10e6 100644 --- a/src/ipa/rpi/controller/agc_algorithm.h +++ b/src/ipa/rpi/controller/agc_algorithm.h @@ -23,15 +23,19 @@ public: virtual std::vector<double> const &getWeights() const = 0; virtual void setEv(unsigned int channel, double ev) = 0; virtual void setFlickerPeriod(libcamera::utils::Duration flickerPeriod) = 0; - virtual void setFixedShutter(unsigned int channel, - libcamera::utils::Duration fixedShutter) = 0; - virtual void setMaxShutter(libcamera::utils::Duration maxShutter) = 0; + virtual void setFixedExposureTime(unsigned int channel, + libcamera::utils::Duration fixedExposureTime) = 0; + virtual void setMaxExposureTime(libcamera::utils::Duration maxExposureTime) = 0; virtual void setFixedAnalogueGain(unsigned int channel, double fixedAnalogueGain) = 0; virtual void setMeteringMode(std::string const &meteringModeName) = 0; virtual void setExposureMode(std::string const &exposureModeName) = 0; virtual void setConstraintMode(std::string const &contraintModeName) = 0; - virtual void enableAuto() = 0; - virtual void disableAuto() = 0; + virtual void enableAutoExposure() = 0; + virtual void disableAutoExposure() = 0; + virtual bool autoExposureEnabled() const = 0; + virtual void enableAutoGain() = 0; + virtual void disableAutoGain() = 0; + virtual bool autoGainEnabled() const = 0; virtual void setActiveChannels(const std::vector<unsigned int> &activeChannels) = 0; }; diff --git a/src/ipa/rpi/controller/agc_status.h b/src/ipa/rpi/controller/agc_status.h index c7c87b83..9308b156 100644 --- a/src/ipa/rpi/controller/agc_status.h +++ b/src/ipa/rpi/controller/agc_status.h @@ -28,7 +28,7 @@ struct AgcStatus { libcamera::utils::Duration totalExposureValue; /* value for all exposure and gain for this image */ libcamera::utils::Duration targetExposureValue; /* (unfiltered) target total exposure AGC is aiming for */ - libcamera::utils::Duration shutterTime; + libcamera::utils::Duration exposureTime; double analogueGain; std::string exposureMode; std::string constraintMode; @@ -36,7 +36,7 @@ struct AgcStatus { double ev; libcamera::utils::Duration flickerPeriod; int floatingRegionEnable; - libcamera::utils::Duration fixedShutter; + libcamera::utils::Duration fixedExposureTime; double fixedAnalogueGain; unsigned int channel; HdrStatus hdr; diff --git a/src/ipa/rpi/controller/awb_algorithm.h b/src/ipa/rpi/controller/awb_algorithm.h index 1779b050..d941ed4e 100644 --- a/src/ipa/rpi/controller/awb_algorithm.h +++ b/src/ipa/rpi/controller/awb_algorithm.h @@ -19,6 +19,7 @@ public: virtual void initialValues(double &gainR, double &gainB) = 0; virtual void setMode(std::string const &modeName) = 0; virtual void setManualGains(double manualR, double manualB) = 0; + virtual void setColourTemperature(double temperatureK) = 0; virtual void enableAuto() = 0; virtual void disableAuto() = 0; }; diff --git a/src/ipa/rpi/controller/camera_mode.h b/src/ipa/rpi/controller/camera_mode.h index 4fdb5b85..61162b32 100644 --- a/src/ipa/rpi/controller/camera_mode.h +++ b/src/ipa/rpi/controller/camera_mode.h @@ -50,9 +50,9 @@ struct CameraMode { double sensitivity; /* pixel clock rate */ uint64_t pixelRate; - /* Mode specific shutter speed limits */ - libcamera::utils::Duration minShutter; - libcamera::utils::Duration maxShutter; + /* Mode specific exposure time limits */ + libcamera::utils::Duration minExposureTime; + libcamera::utils::Duration maxExposureTime; /* Mode specific analogue gain limits */ double minAnalogueGain; double maxAnalogueGain; diff --git a/src/ipa/rpi/controller/controller.cpp b/src/ipa/rpi/controller/controller.cpp index e0131018..651fff63 100644 --- a/src/ipa/rpi/controller/controller.cpp +++ b/src/ipa/rpi/controller/controller.cpp @@ -39,6 +39,7 @@ static const std::map<std::string, Controller::HardwareConfig> HardwareConfigMap .pipelineWidth = 13, .statsInline = false, .minPixelProcessingTime = 0s, + .dataBufferStrided = true, } }, { @@ -71,6 +72,7 @@ static const std::map<std::string, Controller::HardwareConfig> HardwareConfigMap * frames wider than ~16,000 pixels. */ .minPixelProcessingTime = 1.0us / 380, + .dataBufferStrided = false, } }, }; diff --git a/src/ipa/rpi/controller/controller.h b/src/ipa/rpi/controller/controller.h index eff520bd..fdb46557 100644 --- a/src/ipa/rpi/controller/controller.h +++ b/src/ipa/rpi/controller/controller.h @@ -49,6 +49,7 @@ public: unsigned int pipelineWidth; bool statsInline; libcamera::utils::Duration minPixelProcessingTime; + bool dataBufferStrided; }; Controller(); diff --git a/src/ipa/rpi/controller/device_status.cpp b/src/ipa/rpi/controller/device_status.cpp index 68100137..1695764d 100644 --- a/src/ipa/rpi/controller/device_status.cpp +++ b/src/ipa/rpi/controller/device_status.cpp @@ -10,7 +10,7 @@ using namespace libcamera; /* for the Duration operator<< overload */ std::ostream &operator<<(std::ostream &out, const DeviceStatus &d) { - out << "Exposure: " << d.shutterSpeed + out << "Exposure time: " << d.exposureTime << " Frame length: " << d.frameLength << " Line length: " << d.lineLength << " Gain: " << d.analogueGain; diff --git a/src/ipa/rpi/controller/device_status.h b/src/ipa/rpi/controller/device_status.h index 518f15b5..b1792035 100644 --- a/src/ipa/rpi/controller/device_status.h +++ b/src/ipa/rpi/controller/device_status.h @@ -12,21 +12,21 @@ #include <libcamera/base/utils.h> /* - * Definition of "device metadata" which stores things like shutter time and + * Definition of "device metadata" which stores things like exposure time and * analogue gain that downstream control algorithms will want to know. */ struct DeviceStatus { DeviceStatus() - : shutterSpeed(std::chrono::seconds(0)), frameLength(0), + : exposureTime(std::chrono::seconds(0)), frameLength(0), lineLength(std::chrono::seconds(0)), analogueGain(0.0) { } friend std::ostream &operator<<(std::ostream &out, const DeviceStatus &d); - /* time shutter is open */ - libcamera::utils::Duration shutterSpeed; + /* time the image is exposed */ + libcamera::utils::Duration exposureTime; /* frame length given in number of lines */ uint32_t frameLength; /* line length for the current frame */ diff --git a/src/ipa/rpi/controller/histogram.cpp b/src/ipa/rpi/controller/histogram.cpp index ba5b25dd..13089839 100644 --- a/src/ipa/rpi/controller/histogram.cpp +++ b/src/ipa/rpi/controller/histogram.cpp @@ -4,7 +4,7 @@ * * histogram calculations */ -#include <math.h> +#include <cmath> #include <stdio.h> #include "histogram.h" @@ -49,9 +49,9 @@ double Histogram::interBinMean(double binLo, double binHi) const { assert(binHi >= binLo); double sumBinFreq = 0, cumulFreq = 0; - for (double binNext = floor(binLo) + 1.0; binNext <= ceil(binHi); + for (double binNext = std::floor(binLo) + 1.0; binNext <= std::ceil(binHi); binLo = binNext, binNext += 1.0) { - int bin = floor(binLo); + int bin = std::floor(binLo); double freq = (cumulative_[bin + 1] - cumulative_[bin]) * (std::min(binNext, binHi) - binLo); sumBinFreq += bin * freq; diff --git a/src/ipa/rpi/controller/metadata.h b/src/ipa/rpi/controller/metadata.h index b4650d25..77d3b074 100644 --- a/src/ipa/rpi/controller/metadata.h +++ b/src/ipa/rpi/controller/metadata.h @@ -12,6 +12,7 @@ #include <map> #include <mutex> #include <string> +#include <utility> #include <libcamera/base/thread_annotations.h> @@ -36,10 +37,10 @@ public: } template<typename T> - void set(std::string const &tag, T const &value) + void set(std::string const &tag, T &&value) { std::scoped_lock lock(mutex_); - data_[tag] = value; + data_[tag] = std::forward<T>(value); } template<typename T> @@ -90,6 +91,12 @@ public: data_.insert(other.data_.begin(), other.data_.end()); } + void erase(std::string const &tag) + { + std::scoped_lock lock(mutex_); + eraseLocked(tag); + } + template<typename T> T *getLocked(std::string const &tag) { @@ -104,10 +111,18 @@ public: } template<typename T> - void setLocked(std::string const &tag, T const &value) + void setLocked(std::string const &tag, T &&value) { /* Use this only if you're holding the lock yourself. */ - data_[tag] = value; + data_[tag] = std::forward<T>(value); + } + + void eraseLocked(std::string const &tag) + { + auto it = data_.find(tag); + if (it == data_.end()) + return; + data_.erase(it); } /* diff --git a/src/ipa/rpi/controller/rpi/af.cpp b/src/ipa/rpi/controller/rpi/af.cpp index 5ca76dd9..2157eb94 100644 --- a/src/ipa/rpi/controller/rpi/af.cpp +++ b/src/ipa/rpi/controller/rpi/af.cpp @@ -7,8 +7,8 @@ #include "af.h" +#include <cmath> #include <iomanip> -#include <math.h> #include <stdlib.h> #include <libcamera/base/log.h> diff --git a/src/ipa/rpi/controller/rpi/agc.cpp b/src/ipa/rpi/controller/rpi/agc.cpp index fcf7aec9..02bfdb4a 100644 --- a/src/ipa/rpi/controller/rpi/agc.cpp +++ b/src/ipa/rpi/controller/rpi/agc.cpp @@ -74,22 +74,62 @@ int Agc::checkChannel(unsigned int channelIndex) const return 0; } -void Agc::disableAuto() +void Agc::disableAutoExposure() { - LOG(RPiAgc, Debug) << "disableAuto"; + LOG(RPiAgc, Debug) << "disableAutoExposure"; /* All channels are enabled/disabled together. */ for (auto &data : channelData_) - data.channel.disableAuto(); + data.channel.disableAutoExposure(); } -void Agc::enableAuto() +void Agc::enableAutoExposure() { - LOG(RPiAgc, Debug) << "enableAuto"; + LOG(RPiAgc, Debug) << "enableAutoExposure"; /* All channels are enabled/disabled together. */ for (auto &data : channelData_) - data.channel.enableAuto(); + data.channel.enableAutoExposure(); +} + +bool Agc::autoExposureEnabled() const +{ + LOG(RPiAgc, Debug) << "autoExposureEnabled"; + + /* + * We always have at least one channel, and since all channels are + * enabled and disabled together we can simply check the first one. + */ + return channelData_[0].channel.autoExposureEnabled(); +} + +void Agc::disableAutoGain() +{ + LOG(RPiAgc, Debug) << "disableAutoGain"; + + /* All channels are enabled/disabled together. */ + for (auto &data : channelData_) + data.channel.disableAutoGain(); +} + +void Agc::enableAutoGain() +{ + LOG(RPiAgc, Debug) << "enableAutoGain"; + + /* All channels are enabled/disabled together. */ + for (auto &data : channelData_) + data.channel.enableAutoGain(); +} + +bool Agc::autoGainEnabled() const +{ + LOG(RPiAgc, Debug) << "autoGainEnabled"; + + /* + * We always have at least one channel, and since all channels are + * enabled and disabled together we can simply check the first one. + */ + return channelData_[0].channel.autoGainEnabled(); } unsigned int Agc::getConvergenceFrames() const @@ -127,21 +167,21 @@ void Agc::setFlickerPeriod(Duration flickerPeriod) data.channel.setFlickerPeriod(flickerPeriod); } -void Agc::setMaxShutter(Duration maxShutter) +void Agc::setMaxExposureTime(Duration maxExposureTime) { /* Frame durations will be the same across all channels too. */ for (auto &data : channelData_) - data.channel.setMaxShutter(maxShutter); + data.channel.setMaxExposureTime(maxExposureTime); } -void Agc::setFixedShutter(unsigned int channelIndex, Duration fixedShutter) +void Agc::setFixedExposureTime(unsigned int channelIndex, Duration fixedExposureTime) { if (checkChannel(channelIndex)) return; - LOG(RPiAgc, Debug) << "setFixedShutter " << fixedShutter + LOG(RPiAgc, Debug) << "setFixedExposureTime " << fixedExposureTime << " for channel " << channelIndex; - channelData_[channelIndex].channel.setFixedShutter(fixedShutter); + channelData_[channelIndex].channel.setFixedExposureTime(fixedExposureTime); } void Agc::setFixedAnalogueGain(unsigned int channelIndex, double fixedAnalogueGain) diff --git a/src/ipa/rpi/controller/rpi/agc.h b/src/ipa/rpi/controller/rpi/agc.h index 5d056f02..c3a940bf 100644 --- a/src/ipa/rpi/controller/rpi/agc.h +++ b/src/ipa/rpi/controller/rpi/agc.h @@ -32,16 +32,20 @@ public: std::vector<double> const &getWeights() const override; void setEv(unsigned int channel, double ev) override; void setFlickerPeriod(libcamera::utils::Duration flickerPeriod) override; - void setMaxShutter(libcamera::utils::Duration maxShutter) override; - void setFixedShutter(unsigned int channelIndex, - libcamera::utils::Duration fixedShutter) override; + void setMaxExposureTime(libcamera::utils::Duration maxExposureTime) override; + void setFixedExposureTime(unsigned int channelIndex, + libcamera::utils::Duration fixedExposureTime) override; void setFixedAnalogueGain(unsigned int channelIndex, double fixedAnalogueGain) override; void setMeteringMode(std::string const &meteringModeName) override; void setExposureMode(std::string const &exposureModeName) override; void setConstraintMode(std::string const &contraintModeName) override; - void enableAuto() override; - void disableAuto() override; + void enableAutoExposure() override; + void disableAutoExposure() override; + bool autoExposureEnabled() const override; + void enableAutoGain() override; + void disableAutoGain() override; + bool autoGainEnabled() const override; void switchMode(CameraMode const &cameraMode, Metadata *metadata) override; void prepare(Metadata *imageMetadata) override; void process(StatisticsPtr &stats, Metadata *imageMetadata) override; diff --git a/src/ipa/rpi/controller/rpi/agc_channel.cpp b/src/ipa/rpi/controller/rpi/agc_channel.cpp index cf2565a8..a5562760 100644 --- a/src/ipa/rpi/controller/rpi/agc_channel.cpp +++ b/src/ipa/rpi/controller/rpi/agc_channel.cpp @@ -12,6 +12,10 @@ #include <libcamera/base/log.h> +#include "libcamera/internal/vector.h" + +#include "libipa/colours.h" + #include "../awb_status.h" #include "../device_status.h" #include "../histogram.h" @@ -65,7 +69,7 @@ int AgcExposureMode::read(const libcamera::YamlObject ¶ms) auto value = params["shutter"].getList<double>(); if (!value) return -EINVAL; - std::transform(value->begin(), value->end(), std::back_inserter(shutter), + std::transform(value->begin(), value->end(), std::back_inserter(exposureTime), [](double v) { return v * 1us; }); value = params["gain"].getList<double>(); @@ -73,13 +77,13 @@ int AgcExposureMode::read(const libcamera::YamlObject ¶ms) return -EINVAL; gain = std::move(*value); - if (shutter.size() < 2 || gain.size() < 2) { + if (exposureTime.size() < 2 || gain.size() < 2) { LOG(RPiAgc, Error) << "AgcExposureMode: must have at least two entries in exposure profile"; return -EINVAL; } - if (shutter.size() != gain.size()) { + if (exposureTime.size() != gain.size()) { LOG(RPiAgc, Error) << "AgcExposureMode: expect same number of exposure and gain entries in exposure profile"; return -EINVAL; @@ -260,7 +264,7 @@ int AgcConfig::read(const libcamera::YamlObject ¶ms) } AgcChannel::ExposureValues::ExposureValues() - : shutter(0s), analogueGain(0), + : exposureTime(0s), analogueGain(0), totalExposure(0s), totalExposureNoDG(0s) { } @@ -269,7 +273,7 @@ AgcChannel::AgcChannel() : meteringMode_(nullptr), exposureMode_(nullptr), constraintMode_(nullptr), frameCount_(0), lockCount_(0), lastTargetExposure_(0s), ev_(1.0), flickerPeriod_(0s), - maxShutter_(0s), fixedShutter_(0s), fixedAnalogueGain_(0.0) + maxExposureTime_(0s), fixedExposureTime_(0s), fixedAnalogueGain_(0.0) { /* Set AWB default values in case early frames have no updates in metadata. */ awb_.gainR = 1.0; @@ -310,31 +314,49 @@ int AgcChannel::read(const libcamera::YamlObject ¶ms, exposureMode_ = &config_.exposureModes[exposureModeName_]; constraintModeName_ = config_.defaultConstraintMode; constraintMode_ = &config_.constraintModes[constraintModeName_]; - /* Set up the "last shutter/gain" values, in case AGC starts "disabled". */ - status_.shutterTime = config_.defaultExposureTime; + /* Set up the "last exposure time/gain" values, in case AGC starts "disabled". */ + status_.exposureTime = config_.defaultExposureTime; status_.analogueGain = config_.defaultAnalogueGain; return 0; } -void AgcChannel::disableAuto() +void AgcChannel::disableAutoExposure() +{ + fixedExposureTime_ = status_.exposureTime; +} + +void AgcChannel::enableAutoExposure() +{ + fixedExposureTime_ = 0s; +} + +bool AgcChannel::autoExposureEnabled() const +{ + return fixedExposureTime_ == 0s; +} + +void AgcChannel::disableAutoGain() { - fixedShutter_ = status_.shutterTime; fixedAnalogueGain_ = status_.analogueGain; } -void AgcChannel::enableAuto() +void AgcChannel::enableAutoGain() { - fixedShutter_ = 0s; fixedAnalogueGain_ = 0; } +bool AgcChannel::autoGainEnabled() const +{ + return fixedAnalogueGain_ == 0; +} + unsigned int AgcChannel::getConvergenceFrames() const { /* - * If shutter and gain have been explicitly set, there is no + * If exposure time and gain have been explicitly set, there is no * convergence to happen, so no need to drop any frames - return zero. */ - if (fixedShutter_ && fixedAnalogueGain_) + if (fixedExposureTime_ && fixedAnalogueGain_) return 0; else return config_.convergenceFrames; @@ -362,16 +384,16 @@ void AgcChannel::setFlickerPeriod(Duration flickerPeriod) flickerPeriod_ = flickerPeriod; } -void AgcChannel::setMaxShutter(Duration maxShutter) +void AgcChannel::setMaxExposureTime(Duration maxExposureTime) { - maxShutter_ = maxShutter; + maxExposureTime_ = maxExposureTime; } -void AgcChannel::setFixedShutter(Duration fixedShutter) +void AgcChannel::setFixedExposureTime(Duration fixedExposureTime) { - fixedShutter_ = fixedShutter; + fixedExposureTime_ = fixedExposureTime; /* Set this in case someone calls disableAuto() straight after. */ - status_.shutterTime = limitShutter(fixedShutter_); + status_.exposureTime = limitExposureTime(fixedExposureTime_); } void AgcChannel::setFixedAnalogueGain(double fixedAnalogueGain) @@ -411,22 +433,22 @@ void AgcChannel::switchMode(CameraMode const &cameraMode, double lastSensitivity = mode_.sensitivity; mode_ = cameraMode; - Duration fixedShutter = limitShutter(fixedShutter_); - if (fixedShutter && fixedAnalogueGain_) { + Duration fixedExposureTime = limitExposureTime(fixedExposureTime_); + if (fixedExposureTime && fixedAnalogueGain_) { /* We're going to reset the algorithm here with these fixed values. */ fetchAwbStatus(metadata); double minColourGain = std::min({ awb_.gainR, awb_.gainG, awb_.gainB, 1.0 }); ASSERT(minColourGain != 0.0); /* This is the equivalent of computeTargetExposure and applyDigitalGain. */ - target_.totalExposureNoDG = fixedShutter_ * fixedAnalogueGain_; + target_.totalExposureNoDG = fixedExposureTime_ * fixedAnalogueGain_; target_.totalExposure = target_.totalExposureNoDG / minColourGain; /* Equivalent of filterExposure. This resets any "history". */ filtered_ = target_; /* Equivalent of divideUpExposure. */ - filtered_.shutter = fixedShutter; + filtered_.exposureTime = fixedExposureTime; filtered_.analogueGain = fixedAnalogueGain_; } else if (status_.totalExposureValue) { /* @@ -448,14 +470,15 @@ void AgcChannel::switchMode(CameraMode const &cameraMode, divideUpExposure(); } else { /* - * We come through here on startup, when at least one of the shutter - * or gain has not been fixed. We must still write those values out so - * that they will be applied immediately. We supply some arbitrary defaults - * for any that weren't set. + * We come through here on startup, when at least one of the + * exposure time or gain has not been fixed. We must still + * write those values out so that they will be applied + * immediately. We supply some arbitrary defaults for any that + * weren't set. */ /* Equivalent of divideUpExposure. */ - filtered_.shutter = fixedShutter ? fixedShutter : config_.defaultExposureTime; + filtered_.exposureTime = fixedExposureTime ? fixedExposureTime : config_.defaultExposureTime; filtered_.analogueGain = fixedAnalogueGain_ ? fixedAnalogueGain_ : config_.defaultAnalogueGain; } @@ -481,7 +504,7 @@ void AgcChannel::prepare(Metadata *imageMetadata) /* Process has run, so we have meaningful values. */ DeviceStatus deviceStatus; if (imageMetadata->get("device.status", deviceStatus) == 0) { - Duration actualExposure = deviceStatus.shutterSpeed * + Duration actualExposure = deviceStatus.exposureTime * deviceStatus.analogueGain; if (actualExposure) { double digitalGain = totalExposureValue / actualExposure; @@ -535,7 +558,7 @@ void AgcChannel::process(StatisticsPtr &stats, DeviceStatus const &deviceStatus, */ bool desaturate = applyDigitalGain(gain, targetY, channelBound); /* - * The last thing is to divide up the exposure value into a shutter time + * The last thing is to divide up the exposure value into a exposure time * and analogue gain, according to the current exposure mode. */ divideUpExposure(); @@ -551,7 +574,7 @@ bool AgcChannel::updateLockStatus(DeviceStatus const &deviceStatus) const double resetMargin = 1.5; /* Add 200us to the exposure time error to allow for line quantisation. */ - Duration exposureError = lastDeviceStatus_.shutterSpeed * errorFactor + 200us; + Duration exposureError = lastDeviceStatus_.exposureTime * errorFactor + 200us; double gainError = lastDeviceStatus_.analogueGain * errorFactor; Duration targetError = lastTargetExposure_ * errorFactor; @@ -560,15 +583,15 @@ bool AgcChannel::updateLockStatus(DeviceStatus const &deviceStatus) * the values we keep requesting may be unachievable. For this reason * we only insist that we're close to values in the past few frames. */ - if (deviceStatus.shutterSpeed > lastDeviceStatus_.shutterSpeed - exposureError && - deviceStatus.shutterSpeed < lastDeviceStatus_.shutterSpeed + exposureError && + if (deviceStatus.exposureTime > lastDeviceStatus_.exposureTime - exposureError && + deviceStatus.exposureTime < lastDeviceStatus_.exposureTime + exposureError && deviceStatus.analogueGain > lastDeviceStatus_.analogueGain - gainError && deviceStatus.analogueGain < lastDeviceStatus_.analogueGain + gainError && status_.targetExposureValue > lastTargetExposure_ - targetError && status_.targetExposureValue < lastTargetExposure_ + targetError) lockCount_ = std::min(lockCount_ + 1, maxLockCount); - else if (deviceStatus.shutterSpeed < lastDeviceStatus_.shutterSpeed - resetMargin * exposureError || - deviceStatus.shutterSpeed > lastDeviceStatus_.shutterSpeed + resetMargin * exposureError || + else if (deviceStatus.exposureTime < lastDeviceStatus_.exposureTime - resetMargin * exposureError || + deviceStatus.exposureTime > lastDeviceStatus_.exposureTime + resetMargin * exposureError || deviceStatus.analogueGain < lastDeviceStatus_.analogueGain - resetMargin * gainError || deviceStatus.analogueGain > lastDeviceStatus_.analogueGain + resetMargin * gainError || status_.targetExposureValue < lastTargetExposure_ - resetMargin * targetError || @@ -586,11 +609,11 @@ void AgcChannel::housekeepConfig() { /* First fetch all the up-to-date settings, so no one else has to do it. */ status_.ev = ev_; - status_.fixedShutter = limitShutter(fixedShutter_); + status_.fixedExposureTime = limitExposureTime(fixedExposureTime_); status_.fixedAnalogueGain = fixedAnalogueGain_; status_.flickerPeriod = flickerPeriod_; - LOG(RPiAgc, Debug) << "ev " << status_.ev << " fixedShutter " - << status_.fixedShutter << " fixedAnalogueGain " + LOG(RPiAgc, Debug) << "ev " << status_.ev << " fixedExposureTime " + << status_.fixedExposureTime << " fixedAnalogueGain " << status_.fixedAnalogueGain; /* * Make sure the "mode" pointers point to the up-to-date things, if @@ -634,10 +657,10 @@ void AgcChannel::housekeepConfig() void AgcChannel::fetchCurrentExposure(DeviceStatus const &deviceStatus) { - current_.shutter = deviceStatus.shutterSpeed; + current_.exposureTime = deviceStatus.exposureTime; current_.analogueGain = deviceStatus.analogueGain; current_.totalExposure = 0s; /* this value is unused */ - current_.totalExposureNoDG = current_.shutter * current_.analogueGain; + current_.totalExposureNoDG = current_.exposureTime * current_.analogueGain; } void AgcChannel::fetchAwbStatus(Metadata *imageMetadata) @@ -678,12 +701,13 @@ static double computeInitialY(StatisticsPtr &stats, AwbStatus const &awb, * Note that the weights are applied by the IPA to the statistics directly, * before they are given to us here. */ - double rSum = 0, gSum = 0, bSum = 0, pixelSum = 0; + RGB<double> sum{ 0.0 }; + double pixelSum = 0; for (unsigned int i = 0; i < stats->agcRegions.numRegions(); i++) { auto ®ion = stats->agcRegions.get(i); - rSum += std::min<double>(region.val.rSum * gain, (maxVal - 1) * region.counted); - gSum += std::min<double>(region.val.gSum * gain, (maxVal - 1) * region.counted); - bSum += std::min<double>(region.val.bSum * gain, (maxVal - 1) * region.counted); + sum.r() += std::min<double>(region.val.rSum * gain, (maxVal - 1) * region.counted); + sum.g() += std::min<double>(region.val.gSum * gain, (maxVal - 1) * region.counted); + sum.b() += std::min<double>(region.val.bSum * gain, (maxVal - 1) * region.counted); pixelSum += region.counted; } if (pixelSum == 0.0) { @@ -691,14 +715,11 @@ static double computeInitialY(StatisticsPtr &stats, AwbStatus const &awb, return 0; } - double ySum; /* Factor in the AWB correction if needed. */ - if (stats->agcStatsPos == Statistics::AgcStatsPos::PreWb) { - ySum = rSum * awb.gainR * .299 + - gSum * awb.gainG * .587 + - bSum * awb.gainB * .114; - } else - ySum = rSum * .299 + gSum * .587 + bSum * .114; + if (stats->agcStatsPos == Statistics::AgcStatsPos::PreWb) + sum *= RGB<double>{ { awb.gainR, awb.gainR, awb.gainB } }; + + double ySum = ipa::rec601LuminanceFromRGB(sum); return ySum / pixelSum / (1 << 16); } @@ -775,17 +796,17 @@ void AgcChannel::computeGain(StatisticsPtr &statistics, Metadata *imageMetadata, void AgcChannel::computeTargetExposure(double gain) { - if (status_.fixedShutter && status_.fixedAnalogueGain) { + if (status_.fixedExposureTime && status_.fixedAnalogueGain) { /* - * When ag and shutter are both fixed, we need to drive the - * total exposure so that we end up with a digital gain of at least - * 1/minColourGain. Otherwise we'd desaturate channels causing - * white to go cyan or magenta. + * When analogue gain and exposure time are both fixed, we need + * to drive the total exposure so that we end up with a digital + * gain of at least 1/minColourGain. Otherwise we'd desaturate + * channels causing white to go cyan or magenta. */ double minColourGain = std::min({ awb_.gainR, awb_.gainG, awb_.gainB, 1.0 }); ASSERT(minColourGain != 0.0); target_.totalExposure = - status_.fixedShutter * status_.fixedAnalogueGain / minColourGain; + status_.fixedExposureTime * status_.fixedAnalogueGain / minColourGain; } else { /* * The statistics reflect the image without digital gain, so the final @@ -793,12 +814,12 @@ void AgcChannel::computeTargetExposure(double gain) */ target_.totalExposure = current_.totalExposureNoDG * gain; /* The final target exposure is also limited to what the exposure mode allows. */ - Duration maxShutter = status_.fixedShutter - ? status_.fixedShutter - : exposureMode_->shutter.back(); - maxShutter = limitShutter(maxShutter); + Duration maxExposureTime = status_.fixedExposureTime + ? status_.fixedExposureTime + : exposureMode_->exposureTime.back(); + maxExposureTime = limitExposureTime(maxExposureTime); Duration maxTotalExposure = - maxShutter * + maxExposureTime * (status_.fixedAnalogueGain != 0.0 ? status_.fixedAnalogueGain : exposureMode_->gain.back()); @@ -882,12 +903,16 @@ void AgcChannel::filterExposure() double stableRegion = config_.stableRegion; /* - * AGC adapts instantly if both shutter and gain are directly specified - * or we're in the startup phase. + * AGC adapts instantly if both exposure time and gain are directly + * specified or we're in the startup phase. Also disable the stable + * region, because we want to reflect any user exposure/gain updates, + * however small. */ - if ((status_.fixedShutter && status_.fixedAnalogueGain) || - frameCount_ <= config_.startupFrames) + if ((status_.fixedExposureTime && status_.fixedAnalogueGain) || + frameCount_ <= config_.startupFrames) { speed = 1.0; + stableRegion = 0.0; + } if (!filtered_.totalExposure) { filtered_.totalExposure = target_.totalExposure; } else if (filtered_.totalExposure * (1.0 - stableRegion) < target_.totalExposure && @@ -911,34 +936,34 @@ void AgcChannel::filterExposure() void AgcChannel::divideUpExposure() { /* - * Sending the fixed shutter/gain cases through the same code may seem - * unnecessary, but it will make more sense when extend this to cover - * variable aperture. + * Sending the fixed exposure time/gain cases through the same code may + * seem unnecessary, but it will make more sense when extend this to + * cover variable aperture. */ Duration exposureValue = filtered_.totalExposureNoDG; - Duration shutterTime; + Duration exposureTime; double analogueGain; - shutterTime = status_.fixedShutter ? status_.fixedShutter - : exposureMode_->shutter[0]; - shutterTime = limitShutter(shutterTime); + exposureTime = status_.fixedExposureTime ? status_.fixedExposureTime + : exposureMode_->exposureTime[0]; + exposureTime = limitExposureTime(exposureTime); analogueGain = status_.fixedAnalogueGain != 0.0 ? status_.fixedAnalogueGain : exposureMode_->gain[0]; analogueGain = limitGain(analogueGain); - if (shutterTime * analogueGain < exposureValue) { + if (exposureTime * analogueGain < exposureValue) { for (unsigned int stage = 1; stage < exposureMode_->gain.size(); stage++) { - if (!status_.fixedShutter) { - Duration stageShutter = - limitShutter(exposureMode_->shutter[stage]); - if (stageShutter * analogueGain >= exposureValue) { - shutterTime = exposureValue / analogueGain; + if (!status_.fixedExposureTime) { + Duration stageExposureTime = + limitExposureTime(exposureMode_->exposureTime[stage]); + if (stageExposureTime * analogueGain >= exposureValue) { + exposureTime = exposureValue / analogueGain; break; } - shutterTime = stageShutter; + exposureTime = stageExposureTime; } if (status_.fixedAnalogueGain == 0.0) { - if (exposureMode_->gain[stage] * shutterTime >= exposureValue) { - analogueGain = exposureValue / shutterTime; + if (exposureMode_->gain[stage] * exposureTime >= exposureValue) { + analogueGain = exposureValue / exposureTime; break; } analogueGain = exposureMode_->gain[stage]; @@ -946,18 +971,19 @@ void AgcChannel::divideUpExposure() } } } - LOG(RPiAgc, Debug) << "Divided up shutter and gain are " << shutterTime << " and " - << analogueGain; + LOG(RPiAgc, Debug) + << "Divided up exposure time and gain are " << exposureTime + << " and " << analogueGain; /* - * Finally adjust shutter time for flicker avoidance (require both - * shutter and gain not to be fixed). + * Finally adjust exposure time for flicker avoidance (require both + * exposure time and gain not to be fixed). */ - if (!status_.fixedShutter && !status_.fixedAnalogueGain && + if (!status_.fixedExposureTime && !status_.fixedAnalogueGain && status_.flickerPeriod) { - int flickerPeriods = shutterTime / status_.flickerPeriod; + int flickerPeriods = exposureTime / status_.flickerPeriod; if (flickerPeriods) { - Duration newShutterTime = flickerPeriods * status_.flickerPeriod; - analogueGain *= shutterTime / newShutterTime; + Duration newExposureTime = flickerPeriods * status_.flickerPeriod; + analogueGain *= exposureTime / newExposureTime; /* * We should still not allow the ag to go over the * largest value in the exposure mode. Note that this @@ -966,12 +992,12 @@ void AgcChannel::divideUpExposure() */ analogueGain = std::min(analogueGain, exposureMode_->gain.back()); analogueGain = limitGain(analogueGain); - shutterTime = newShutterTime; + exposureTime = newExposureTime; } - LOG(RPiAgc, Debug) << "After flicker avoidance, shutter " - << shutterTime << " gain " << analogueGain; + LOG(RPiAgc, Debug) << "After flicker avoidance, exposure time " + << exposureTime << " gain " << analogueGain; } - filtered_.shutter = shutterTime; + filtered_.exposureTime = exposureTime; filtered_.analogueGain = analogueGain; } @@ -979,7 +1005,7 @@ void AgcChannel::writeAndFinish(Metadata *imageMetadata, bool desaturate) { status_.totalExposureValue = filtered_.totalExposure; status_.targetExposureValue = desaturate ? 0s : target_.totalExposure; - status_.shutterTime = filtered_.shutter; + status_.exposureTime = filtered_.exposureTime; status_.analogueGain = filtered_.analogueGain; /* * Write to metadata as well, in case anyone wants to update the camera @@ -988,32 +1014,32 @@ void AgcChannel::writeAndFinish(Metadata *imageMetadata, bool desaturate) imageMetadata->set("agc.status", status_); LOG(RPiAgc, Debug) << "Output written, total exposure requested is " << filtered_.totalExposure; - LOG(RPiAgc, Debug) << "Camera exposure update: shutter time " << filtered_.shutter + LOG(RPiAgc, Debug) << "Camera exposure update: exposure time " << filtered_.exposureTime << " analogue gain " << filtered_.analogueGain; } -Duration AgcChannel::limitShutter(Duration shutter) +Duration AgcChannel::limitExposureTime(Duration exposureTime) { /* - * shutter == 0 is a special case for fixed shutter values, and must pass - * through unchanged + * exposureTime == 0 is a special case for fixed exposure time values, + * and must pass through unchanged. */ - if (!shutter) - return shutter; + if (!exposureTime) + return exposureTime; - shutter = std::clamp(shutter, mode_.minShutter, maxShutter_); - return shutter; + exposureTime = std::clamp(exposureTime, mode_.minExposureTime, maxExposureTime_); + return exposureTime; } double AgcChannel::limitGain(double gain) const { /* - * Only limit the lower bounds of the gain value to what the sensor limits. - * The upper bound on analogue gain will be made up with additional digital - * gain applied by the ISP. + * Only limit the lower bounds of the gain value to what the sensor + * limits. The upper bound on analogue gain will be made up with + * additional digital gain applied by the ISP. * - * gain == 0.0 is a special case for fixed shutter values, and must pass - * through unchanged + * gain == 0.0 is a special case for fixed exposure time values, and + * must pass through unchanged. */ if (!gain) return gain; diff --git a/src/ipa/rpi/controller/rpi/agc_channel.h b/src/ipa/rpi/controller/rpi/agc_channel.h index 58368889..fa697e6f 100644 --- a/src/ipa/rpi/controller/rpi/agc_channel.h +++ b/src/ipa/rpi/controller/rpi/agc_channel.h @@ -30,7 +30,7 @@ struct AgcMeteringMode { }; struct AgcExposureMode { - std::vector<libcamera::utils::Duration> shutter; + std::vector<libcamera::utils::Duration> exposureTime; std::vector<double> gain; int read(const libcamera::YamlObject ¶ms); }; @@ -90,14 +90,18 @@ public: std::vector<double> const &getWeights() const; void setEv(double ev); void setFlickerPeriod(libcamera::utils::Duration flickerPeriod); - void setMaxShutter(libcamera::utils::Duration maxShutter); - void setFixedShutter(libcamera::utils::Duration fixedShutter); + void setMaxExposureTime(libcamera::utils::Duration maxExposureTime); + void setFixedExposureTime(libcamera::utils::Duration fixedExposureTime); void setFixedAnalogueGain(double fixedAnalogueGain); void setMeteringMode(std::string const &meteringModeName); void setExposureMode(std::string const &exposureModeName); void setConstraintMode(std::string const &contraintModeName); - void enableAuto(); - void disableAuto(); + void enableAutoExposure(); + void disableAutoExposure(); + bool autoExposureEnabled() const; + void enableAutoGain(); + void disableAutoGain(); + bool autoGainEnabled() const; void switchMode(CameraMode const &cameraMode, Metadata *metadata); void prepare(Metadata *imageMetadata); void process(StatisticsPtr &stats, DeviceStatus const &deviceStatus, Metadata *imageMetadata, @@ -117,7 +121,7 @@ private: bool applyDigitalGain(double gain, double targetY, bool channelBound); void divideUpExposure(); void writeAndFinish(Metadata *imageMetadata, bool desaturate); - libcamera::utils::Duration limitShutter(libcamera::utils::Duration shutter); + libcamera::utils::Duration limitExposureTime(libcamera::utils::Duration exposureTime); double limitGain(double gain) const; AgcMeteringMode *meteringMode_; AgcExposureMode *exposureMode_; @@ -128,7 +132,7 @@ private: struct ExposureValues { ExposureValues(); - libcamera::utils::Duration shutter; + libcamera::utils::Duration exposureTime; double analogueGain; libcamera::utils::Duration totalExposure; libcamera::utils::Duration totalExposureNoDG; /* without digital gain */ @@ -146,8 +150,8 @@ private: std::string constraintModeName_; double ev_; libcamera::utils::Duration flickerPeriod_; - libcamera::utils::Duration maxShutter_; - libcamera::utils::Duration fixedShutter_; + libcamera::utils::Duration maxExposureTime_; + libcamera::utils::Duration fixedExposureTime_; double fixedAnalogueGain_; }; diff --git a/src/ipa/rpi/controller/rpi/alsc.cpp b/src/ipa/rpi/controller/rpi/alsc.cpp index 161fd455..21edb819 100644 --- a/src/ipa/rpi/controller/rpi/alsc.cpp +++ b/src/ipa/rpi/controller/rpi/alsc.cpp @@ -6,8 +6,8 @@ */ #include <algorithm> +#include <cmath> #include <functional> -#include <math.h> #include <numeric> #include <vector> @@ -252,12 +252,12 @@ static bool compareModes(CameraMode const &cm0, CameraMode const &cm1) */ if (cm0.transform != cm1.transform) return true; - int leftDiff = abs(cm0.cropX - cm1.cropX); - int topDiff = abs(cm0.cropY - cm1.cropY); - int rightDiff = fabs(cm0.cropX + cm0.scaleX * cm0.width - - cm1.cropX - cm1.scaleX * cm1.width); - int bottomDiff = fabs(cm0.cropY + cm0.scaleY * cm0.height - - cm1.cropY - cm1.scaleY * cm1.height); + int leftDiff = std::abs(cm0.cropX - cm1.cropX); + int topDiff = std::abs(cm0.cropY - cm1.cropY); + int rightDiff = std::abs(cm0.cropX + cm0.scaleX * cm0.width - + cm1.cropX - cm1.scaleX * cm1.width); + int bottomDiff = std::abs(cm0.cropY + cm0.scaleY * cm0.height - + cm1.cropY - cm1.scaleY * cm1.height); /* * These thresholds are a rather arbitrary amount chosen to trigger * when carrying on with the previously calculated tables might be @@ -732,7 +732,7 @@ static double gaussSeidel2Sor(const SparseArray<double> &M, double omega, double maxDiff = 0; for (i = 0; i < XY; i++) { lambda[i] = oldLambda[i] + (lambda[i] - oldLambda[i]) * omega; - if (fabs(lambda[i] - oldLambda[i]) > fabs(maxDiff)) + if (std::abs(lambda[i] - oldLambda[i]) > std::abs(maxDiff)) maxDiff = lambda[i] - oldLambda[i]; } return maxDiff; @@ -764,7 +764,7 @@ static void runMatrixIterations(const Array2D<double> &C, constructM(C, W, M); double lastMaxDiff = std::numeric_limits<double>::max(); for (unsigned int i = 0; i < nIter; i++) { - double maxDiff = fabs(gaussSeidel2Sor(M, omega, lambda, lambdaBound)); + double maxDiff = std::abs(gaussSeidel2Sor(M, omega, lambda, lambdaBound)); if (maxDiff < threshold) { LOG(RPiAlsc, Debug) << "Stop after " << i + 1 << " iterations"; diff --git a/src/ipa/rpi/controller/rpi/awb.cpp b/src/ipa/rpi/controller/rpi/awb.cpp index f45525bc..8479ae40 100644 --- a/src/ipa/rpi/controller/rpi/awb.cpp +++ b/src/ipa/rpi/controller/rpi/awb.cpp @@ -6,6 +6,7 @@ */ #include <assert.h> +#include <cmath> #include <functional> #include <libcamera/base/log.h> @@ -20,6 +21,8 @@ using namespace libcamera; LOG_DEFINE_CATEGORY(RPiAwb) +constexpr double kDefaultCT = 4500.0; + #define NAME "rpi.awb" /* @@ -167,6 +170,14 @@ int AwbConfig::read(const libcamera::YamlObject ¶ms) whitepointB = params["whitepoint_b"].get<double>(0.0); if (bayes == false) sensitivityR = sensitivityB = 1.0; /* nor do sensitivities make any sense */ + /* + * The biasProportion parameter adds a small proportion of the counted + * pixles to a region biased to the biasCT colour temperature. + * + * A typical value for biasProportion would be between 0.05 to 0.1. + */ + biasProportion = params["bias_proportion"].get<double>(0.0); + biasCT = params["bias_ct"].get<double>(kDefaultCT); return 0; } @@ -214,7 +225,7 @@ void Awb::initialise() syncResults_.gainB = 1.0 / config_.ctB.eval(syncResults_.temperatureK); } else { /* random values just to stop the world blowing up */ - syncResults_.temperatureK = 4500; + syncResults_.temperatureK = kDefaultCT; syncResults_.gainR = syncResults_.gainG = syncResults_.gainB = 1.0; } prevSyncResults_ = syncResults_; @@ -282,6 +293,24 @@ void Awb::setManualGains(double manualR, double manualB) } } +void Awb::setColourTemperature(double temperatureK) +{ + if (!config_.bayes) { + LOG(RPiAwb, Warning) << "AWB uncalibrated - cannot set colour temperature"; + return; + } + + temperatureK = config_.ctR.domain().clamp(temperatureK); + manualR_ = 1 / config_.ctR.eval(temperatureK); + manualB_ = 1 / config_.ctB.eval(temperatureK); + + syncResults_.temperatureK = temperatureK; + syncResults_.gainR = manualR_; + syncResults_.gainG = 1.0; + syncResults_.gainB = manualB_; + prevSyncResults_ = syncResults_; +} + void Awb::switchMode([[maybe_unused]] CameraMode const &cameraMode, Metadata *metadata) { @@ -407,7 +436,8 @@ void Awb::asyncFunc() static void generateStats(std::vector<Awb::RGB> &zones, StatisticsPtr &stats, double minPixels, - double minG, Metadata &globalMetadata) + double minG, Metadata &globalMetadata, + double biasProportion, double biasCtR, double biasCtB) { std::scoped_lock<RPiController::Metadata> l(globalMetadata); @@ -420,6 +450,14 @@ static void generateStats(std::vector<Awb::RGB> &zones, continue; zone.R = region.val.rSum / region.counted; zone.B = region.val.bSum / region.counted; + /* + * Add some bias samples to allow the search to tend to a + * bias CT in failure cases. + */ + const unsigned int proportion = biasProportion * region.counted; + zone.R += proportion * biasCtR; + zone.B += proportion * biasCtB; + zone.G += proportion * 1.0; /* Factor in the ALSC applied colour shading correction if required. */ const AlscStatus *alscStatus = globalMetadata.getLocked<AlscStatus>("alsc.status"); if (stats->colourStatsPos == Statistics::ColourStatsPos::PreLsc && alscStatus) { @@ -439,8 +477,11 @@ void Awb::prepareStats() * LSC has already been applied to the stats in this pipeline, so stop * any LSC compensation. We also ignore config_.fast in this version. */ + const double biasCtR = config_.bayes ? config_.ctR.eval(config_.biasCT) : 0; + const double biasCtB = config_.bayes ? config_.ctB.eval(config_.biasCT) : 0; generateStats(zones_, statistics_, config_.minPixels, - config_.minG, getGlobalMetadata()); + config_.minG, getGlobalMetadata(), + config_.biasProportion, biasCtR, biasCtB); /* * apply sensitivities, so values appear to come from our "canonical" * sensor. @@ -505,7 +546,7 @@ static double interpolateQuadatric(ipa::Pwl::Point const &a, ipa::Pwl::Point con const double eps = 1e-3; ipa::Pwl::Point ca = c - a, ba = b - a; double denominator = 2 * (ba.y() * ca.x() - ca.y() * ba.x()); - if (abs(denominator) > eps) { + if (std::abs(denominator) > eps) { double numerator = ba.y() * ca.x() * ca.x() - ca.y() * ba.x() * ba.x(); double result = numerator / denominator + a.x(); return std::max(a.x(), std::min(c.x(), result)); @@ -716,7 +757,11 @@ void Awb::awbGrey() sumR += *ri, sumB += *bi; double gainR = sumR.G / (sumR.R + 1), gainB = sumB.G / (sumB.B + 1); - asyncResults_.temperatureK = 4500; /* don't know what it is */ + /* + * The grey world model can't estimate the colour temperature, use a + * default value. + */ + asyncResults_.temperatureK = kDefaultCT; asyncResults_.gainR = gainR; asyncResults_.gainG = 1.0; asyncResults_.gainB = gainB; diff --git a/src/ipa/rpi/controller/rpi/awb.h b/src/ipa/rpi/controller/rpi/awb.h index ab30f4fa..86640f8f 100644 --- a/src/ipa/rpi/controller/rpi/awb.h +++ b/src/ipa/rpi/controller/rpi/awb.h @@ -87,6 +87,10 @@ struct AwbConfig { double whitepointR; double whitepointB; bool bayes; /* use Bayesian algorithm */ + /* proportion of counted samples to add for the search bias */ + double biasProportion; + /* CT target for the search bias */ + double biasCT; }; class Awb : public AwbAlgorithm @@ -101,6 +105,7 @@ public: void initialValues(double &gainR, double &gainB) override; void setMode(std::string const &name) override; void setManualGains(double manualR, double manualB) override; + void setColourTemperature(double temperatureK) override; void enableAuto() override; void disableAuto() override; void switchMode(CameraMode const &cameraMode, Metadata *metadata) override; diff --git a/src/ipa/rpi/controller/rpi/black_level.cpp b/src/ipa/rpi/controller/rpi/black_level.cpp index ea991df9..4c968f14 100644 --- a/src/ipa/rpi/controller/rpi/black_level.cpp +++ b/src/ipa/rpi/controller/rpi/black_level.cpp @@ -5,7 +5,6 @@ * black level control algorithm */ -#include <math.h> #include <stdint.h> #include <libcamera/base/log.h> diff --git a/src/ipa/rpi/controller/rpi/ccm.cpp b/src/ipa/rpi/controller/rpi/ccm.cpp index aefa580c..8607f152 100644 --- a/src/ipa/rpi/controller/rpi/ccm.cpp +++ b/src/ipa/rpi/controller/rpi/ccm.cpp @@ -29,34 +29,7 @@ LOG_DEFINE_CATEGORY(RPiCcm) #define NAME "rpi.ccm" -Matrix::Matrix() -{ - memset(m, 0, sizeof(m)); -} -Matrix::Matrix(double m0, double m1, double m2, double m3, double m4, double m5, - double m6, double m7, double m8) -{ - m[0][0] = m0, m[0][1] = m1, m[0][2] = m2, m[1][0] = m3, m[1][1] = m4, - m[1][2] = m5, m[2][0] = m6, m[2][1] = m7, m[2][2] = m8; -} -int Matrix::read(const libcamera::YamlObject ¶ms) -{ - double *ptr = (double *)m; - - if (params.size() != 9) { - LOG(RPiCcm, Error) << "Wrong number of values in CCM"; - return -EINVAL; - } - - for (const auto ¶m : params.asList()) { - auto value = param.get<double>(); - if (!value) - return -EINVAL; - *ptr++ = *value; - } - - return 0; -} +using Matrix3x3 = Matrix<double, 3, 3>; Ccm::Ccm(Controller *controller) : CcmAlgorithm(controller), saturation_(1.0) {} @@ -68,8 +41,6 @@ char const *Ccm::name() const int Ccm::read(const libcamera::YamlObject ¶ms) { - int ret; - if (params.contains("saturation")) { config_.saturation = params["saturation"].get<ipa::Pwl>(ipa::Pwl{}); if (config_.saturation.empty()) @@ -83,9 +54,12 @@ int Ccm::read(const libcamera::YamlObject ¶ms) CtCcm ctCcm; ctCcm.ct = *value; - ret = ctCcm.ccm.read(p["ccm"]); - if (ret) - return ret; + + auto ccm = p["ccm"].get<Matrix3x3>(); + if (!ccm) + return -EINVAL; + + ctCcm.ccm = *ccm; if (!config_.ccms.empty() && ctCcm.ct <= config_.ccms.back().ct) { LOG(RPiCcm, Error) @@ -125,7 +99,7 @@ bool getLocked(Metadata *metadata, std::string const &tag, T &value) return true; } -Matrix calculateCcm(std::vector<CtCcm> const &ccms, double ct) +Matrix3x3 calculateCcm(std::vector<CtCcm> const &ccms, double ct) { if (ct <= ccms.front().ct) return ccms.front().ccm; @@ -141,13 +115,20 @@ Matrix calculateCcm(std::vector<CtCcm> const &ccms, double ct) } } -Matrix applySaturation(Matrix const &ccm, double saturation) +Matrix3x3 applySaturation(Matrix3x3 const &ccm, double saturation) { - Matrix RGB2Y(0.299, 0.587, 0.114, -0.169, -0.331, 0.500, 0.500, -0.419, - -0.081); - Matrix Y2RGB(1.000, 0.000, 1.402, 1.000, -0.345, -0.714, 1.000, 1.771, - 0.000); - Matrix S(1, 0, 0, 0, saturation, 0, 0, 0, saturation); + static const Matrix3x3 RGB2Y({ 0.299, 0.587, 0.114, + -0.169, -0.331, 0.500, + 0.500, -0.419, -0.081 }); + + static const Matrix3x3 Y2RGB({ 1.000, 0.000, 1.402, + 1.000, -0.345, -0.714, + 1.000, 1.771, 0.000 }); + + Matrix3x3 S({ 1, 0, 0, + 0, saturation, 0, + 0, 0, saturation }); + return Y2RGB * S * RGB2Y * ccm; } @@ -170,7 +151,7 @@ void Ccm::prepare(Metadata *imageMetadata) LOG(RPiCcm, Warning) << "no colour temperature found"; if (!luxOk) LOG(RPiCcm, Warning) << "no lux value found"; - Matrix ccm = calculateCcm(config_.ccms, awb.temperatureK); + Matrix3x3 ccm = calculateCcm(config_.ccms, awb.temperatureK); double saturation = saturation_; struct CcmStatus ccmStatus; ccmStatus.saturation = saturation; @@ -181,7 +162,7 @@ void Ccm::prepare(Metadata *imageMetadata) for (int j = 0; j < 3; j++) for (int i = 0; i < 3; i++) ccmStatus.matrix[j * 3 + i] = - std::max(-8.0, std::min(7.9999, ccm.m[j][i])); + std::max(-8.0, std::min(7.9999, ccm[j][i])); LOG(RPiCcm, Debug) << "colour temperature " << awb.temperatureK << "K"; LOG(RPiCcm, Debug) diff --git a/src/ipa/rpi/controller/rpi/ccm.h b/src/ipa/rpi/controller/rpi/ccm.h index 4e5b33fe..c05dbb17 100644 --- a/src/ipa/rpi/controller/rpi/ccm.h +++ b/src/ipa/rpi/controller/rpi/ccm.h @@ -8,6 +8,7 @@ #include <vector> +#include "libcamera/internal/matrix.h" #include <libipa/pwl.h> #include "../ccm_algorithm.h" @@ -16,41 +17,9 @@ namespace RPiController { /* Algorithm to calculate colour matrix. Should be placed after AWB. */ -struct Matrix { - Matrix(double m0, double m1, double m2, double m3, double m4, double m5, - double m6, double m7, double m8); - Matrix(); - double m[3][3]; - int read(const libcamera::YamlObject ¶ms); -}; -static inline Matrix operator*(double d, Matrix const &m) -{ - return Matrix(m.m[0][0] * d, m.m[0][1] * d, m.m[0][2] * d, - m.m[1][0] * d, m.m[1][1] * d, m.m[1][2] * d, - m.m[2][0] * d, m.m[2][1] * d, m.m[2][2] * d); -} -static inline Matrix operator*(Matrix const &m1, Matrix const &m2) -{ - Matrix m; - for (int i = 0; i < 3; i++) - for (int j = 0; j < 3; j++) - m.m[i][j] = m1.m[i][0] * m2.m[0][j] + - m1.m[i][1] * m2.m[1][j] + - m1.m[i][2] * m2.m[2][j]; - return m; -} -static inline Matrix operator+(Matrix const &m1, Matrix const &m2) -{ - Matrix m; - for (int i = 0; i < 3; i++) - for (int j = 0; j < 3; j++) - m.m[i][j] = m1.m[i][j] + m2.m[i][j]; - return m; -} - struct CtCcm { double ct; - Matrix ccm; + libcamera::Matrix<double, 3, 3> ccm; }; struct CcmConfig { diff --git a/src/ipa/rpi/controller/rpi/lux.cpp b/src/ipa/rpi/controller/rpi/lux.cpp index 7b31faab..27b89a8f 100644 --- a/src/ipa/rpi/controller/rpi/lux.cpp +++ b/src/ipa/rpi/controller/rpi/lux.cpp @@ -4,7 +4,6 @@ * * Lux control algorithm */ -#include <math.h> #include <libcamera/base/log.h> @@ -41,7 +40,7 @@ int Lux::read(const libcamera::YamlObject ¶ms) auto value = params["reference_shutter_speed"].get<double>(); if (!value) return -EINVAL; - referenceShutterSpeed_ = *value * 1.0us; + referenceExposureTime_ = *value * 1.0us; value = params["reference_gain"].get<double>(); if (!value) @@ -83,11 +82,11 @@ void Lux::process(StatisticsPtr &stats, Metadata *imageMetadata) double currentAperture = deviceStatus.aperture.value_or(currentAperture_); double currentY = stats->yHist.interQuantileMean(0, 1); double gainRatio = referenceGain_ / currentGain; - double shutterSpeedRatio = - referenceShutterSpeed_ / deviceStatus.shutterSpeed; + double exposureTimeRatio = + referenceExposureTime_ / deviceStatus.exposureTime; double apertureRatio = referenceAperture_ / currentAperture; double yRatio = currentY * (65536 / stats->yHist.bins()) / referenceY_; - double estimatedLux = shutterSpeedRatio * gainRatio * + double estimatedLux = exposureTimeRatio * gainRatio * apertureRatio * apertureRatio * yRatio * referenceLux_; LuxStatus status; diff --git a/src/ipa/rpi/controller/rpi/lux.h b/src/ipa/rpi/controller/rpi/lux.h index 89f441fc..da007fe9 100644 --- a/src/ipa/rpi/controller/rpi/lux.h +++ b/src/ipa/rpi/controller/rpi/lux.h @@ -32,7 +32,7 @@ private: * These values define the conditions of the reference image, against * which we compare the new image. */ - libcamera::utils::Duration referenceShutterSpeed_; + libcamera::utils::Duration referenceExposureTime_; double referenceGain_; double referenceAperture_; /* units of 1/f */ double referenceY_; /* out of 65536 */ diff --git a/src/ipa/rpi/controller/rpi/noise.cpp b/src/ipa/rpi/controller/rpi/noise.cpp index 3f1c62cf..145175fb 100644 --- a/src/ipa/rpi/controller/rpi/noise.cpp +++ b/src/ipa/rpi/controller/rpi/noise.cpp @@ -5,7 +5,7 @@ * Noise control algorithm */ -#include <math.h> +#include <cmath> #include <libcamera/base/log.h> @@ -69,7 +69,7 @@ void Noise::prepare(Metadata *imageMetadata) * make some adjustments based on the camera mode (such as * binning), if we knew how to discover it... */ - double factor = sqrt(deviceStatus.analogueGain) / modeFactor_; + double factor = std::sqrt(deviceStatus.analogueGain) / modeFactor_; struct NoiseStatus status; status.noiseConstant = referenceConstant_ * factor; status.noiseSlope = referenceSlope_ * factor; diff --git a/src/ipa/rpi/controller/rpi/sharpen.cpp b/src/ipa/rpi/controller/rpi/sharpen.cpp index 39537f4a..1d143ff5 100644 --- a/src/ipa/rpi/controller/rpi/sharpen.cpp +++ b/src/ipa/rpi/controller/rpi/sharpen.cpp @@ -5,7 +5,7 @@ * sharpening control algorithm */ -#include <math.h> +#include <cmath> #include <libcamera/base/log.h> @@ -68,7 +68,7 @@ void Sharpen::prepare(Metadata *imageMetadata) * we adjust the limit and threshold less aggressively. Using a sqrt * function is an arbitrary but gentle way of accomplishing this. */ - double userStrengthSqrt = sqrt(userStrength_); + double userStrengthSqrt = std::sqrt(userStrength_); struct SharpenStatus status; /* * Binned modes seem to need the sharpening toned down with this diff --git a/src/ipa/rpi/pisp/data/imx219.json b/src/ipa/rpi/pisp/data/imx219.json new file mode 100644 index 00000000..5254e60d --- /dev/null +++ b/src/ipa/rpi/pisp/data/imx219.json @@ -0,0 +1,1187 @@ +{ + "version": 2.0, + "target": "pisp", + "algorithms": [ + { + "rpi.black_level": + { + "black_level": 4096 + } + }, + { + "rpi.lux": + { + "reference_shutter_speed": 21965, + "reference_gain": 1.0, + "reference_aperture": 1.0, + "reference_lux": 800, + "reference_Y": 11460 + } + }, + { + "rpi.dpc": + { + "strength": 1 + } + }, + { + "rpi.noise": + { + "reference_constant": 0, + "reference_slope": 3.661 + } + }, + { + "rpi.geq": + { + "offset": 239, + "slope": 0.00766 + } + }, + { + "rpi.denoise": + { + "normal": + { + "sdn": + { + "deviation": 1.6, + "strength": 0.5, + "deviation2": 3.2, + "deviation_no_tdn": 3.2, + "strength_no_tdn": 0.75 + }, + "cdn": + { + "deviation": 200, + "strength": 0.3 + }, + "tdn": + { + "deviation": 0.8, + "threshold": 0.05 + } + }, + "hdr": + { + "sdn": + { + "deviation": 1.6, + "strength": 0.5, + "deviation2": 3.2, + "deviation_no_tdn": 3.2, + "strength_no_tdn": 0.75 + }, + "cdn": + { + "deviation": 200, + "strength": 0.3 + }, + "tdn": + { + "deviation": 1.3, + "threshold": 0.1 + } + }, + "night": + { + "sdn": + { + "deviation": 1.6, + "strength": 0.5, + "deviation2": 3.2, + "deviation_no_tdn": 3.2, + "strength_no_tdn": 0.75 + }, + "cdn": + { + "deviation": 200, + "strength": 0.3 + }, + "tdn": + { + "deviation": 1.3, + "threshold": 0.1 + } + } + } + }, + { + "rpi.awb": + { + "priors": [ + { + "lux": 0, + "prior": + [ + 2000, 1.0, + 3000, 0.0, + 13000, 0.0 + ] + }, + { + "lux": 800, + "prior": + [ + 2000, 0.0, + 6000, 2.0, + 13000, 2.0 + ] + }, + { + "lux": 1500, + "prior": + [ + 2000, 0.0, + 4000, 1.0, + 6000, 6.0, + 6500, 7.0, + 7000, 1.0, + 13000, 1.0 + ] + } + ], + "modes": + { + "auto": + { + "lo": 2500, + "hi": 7700 + }, + "incandescent": + { + "lo": 2500, + "hi": 3000 + }, + "tungsten": + { + "lo": 3000, + "hi": 3500 + }, + "fluorescent": + { + "lo": 4000, + "hi": 4700 + }, + "indoor": + { + "lo": 3000, + "hi": 5000 + }, + "daylight": + { + "lo": 5500, + "hi": 6500 + }, + "cloudy": + { + "lo": 7000, + "hi": 8000 + } + }, + "bayes": 1, + "ct_curve": + [ + 2860.0, 0.9514, 0.4156, + 2960.0, 0.9289, 0.4372, + 3603.0, 0.8305, 0.5251, + 4650.0, 0.6756, 0.6433, + 5858.0, 0.6193, 0.6807, + 7580.0, 0.5019, 0.7495 + ], + "sensitivity_r": 1.0, + "sensitivity_b": 1.0, + "transverse_pos": 0.03392, + "transverse_neg": 0.034 + } + }, + { + "rpi.agc": + { + "channels": [ + { + "comment": "Channel 0 is normal AGC", + "metering_modes": + { + "centre-weighted": + { + "weights": + [ + 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, + 0, 1, 1, 1, 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"SingleExposure": + { + "cadence": [ 1 ], + "channel_map": + { + "short": 1 + }, + "spatial_gain": 2.0, + "power_min": 0.7, + "tonemap_enable": 1 + }, + "MultiExposure": + { + "cadence": [ 1, 2 ], + "channel_map": + { + "short": 1, + "long": 2 + }, + "stitch_enable": 1, + "spatial_gain": 2.0, + "power_min": 0.7, + "tonemap_enable": 1 + }, + "Night": + { + "cadence": [ 3 ], + "channel_map": + { + "short": 3 + }, + "tonemap_enable": 1, + "tonemap": + [ + 0, 0, + 5000, 20000, + 10000, 30000, + 20000, 47000, + 30000, 55000, + 65535, 65535 + ] + } + } + } + ] +}
\ No newline at end of file diff --git a/src/ipa/rpi/pisp/data/meson.build b/src/ipa/rpi/pisp/data/meson.build new file mode 100644 index 00000000..f56c4e39 --- /dev/null +++ b/src/ipa/rpi/pisp/data/meson.build @@ -0,0 +1,29 @@ +# SPDX-License-Identifier: CC0-1.0 + +conf_files = files([ + 'imx219.json', + 'imx219_noir.json', + 'imx290.json', + 'imx296.json', + 'imx296_mono.json', + 'imx378.json', + 'imx415.json', + 'imx462.json', + 'imx477.json', + 'imx477_noir.json', + 'imx477_scientific.json', + 'imx519.json', + 'imx708.json', + 'imx708_noir.json', + 'imx708_wide.json', + 'imx708_wide_noir.json', + 'ov5647.json', + 'ov5647_noir.json', + 'ov64a40.json', + 'ov9281_mono.json', + 'se327m12.json', + 'uncalibrated.json', +]) + +install_data(conf_files, + install_dir : ipa_data_dir / 'rpi' / 'pisp') diff --git a/src/ipa/rpi/pisp/data/ov5647.json b/src/ipa/rpi/pisp/data/ov5647.json new file mode 100644 index 00000000..d5156767 --- /dev/null +++ b/src/ipa/rpi/pisp/data/ov5647.json @@ -0,0 +1,1186 @@ +{ + "version": 2.0, + "target": "pisp", + "algorithms": [ + { + "rpi.black_level": + { + "black_level": 1024 + } + }, + { + "rpi.lux": + { + "reference_shutter_speed": 29381, + "reference_gain": 1.0, + "reference_aperture": 1.0, + "reference_lux": 870, + "reference_Y": 12388 + } + }, + { + "rpi.dpc": + { + "strength": 1 + } + }, + { + "rpi.noise": + { + "reference_constant": 0, + "reference_slope": 4.371 + } + }, + { + "rpi.geq": + { + "offset": 280, + "slope": 0.02153 + } + }, + { + "rpi.denoise": + { + "normal": + { + "sdn": + { + "deviation": 1.6, + "strength": 0.5, + "deviation2": 3.2, + "deviation_no_tdn": 3.2, + "strength_no_tdn": 0.75 + }, + "cdn": + { + "deviation": 200, + "strength": 0.3 + }, + "tdn": + { + "deviation": 0.8, + "threshold": 0.05 + } + }, + "hdr": + { + "sdn": + { + "deviation": 1.6, + "strength": 0.5, + "deviation2": 3.2, + "deviation_no_tdn": 3.2, + "strength_no_tdn": 0.75 + }, + "cdn": + { + "deviation": 200, + "strength": 0.3 + }, + "tdn": + { + 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\ No newline at end of file diff --git a/src/ipa/rpi/pisp/data/uncalibrated.json b/src/ipa/rpi/pisp/data/uncalibrated.json new file mode 100644 index 00000000..ff1e316e --- /dev/null +++ b/src/ipa/rpi/pisp/data/uncalibrated.json @@ -0,0 +1,135 @@ +{ + "version": 2.0, + "target": "pisp", + "algorithms": [ + { + "rpi.black_level": + { + "black_level": 4096 + } + }, + { + "rpi.awb": + { + "use_derivatives": 0, + "bayes": 0 + } + }, + { + "rpi.agc": + { + "metering_modes": + { + "centre-weighted": + { + "weights": + [ + 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, + 0, 1, 1, 1, 1, 1, 2, 2, 2, 1, 1, 1, 1, 1, 0, + 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 1, 1, 1, 1, + 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 1, 1, + 1, 1, 2, 2, 2, 2, 3, 3, 3, 2, 2, 2, 2, 1, 1, + 1, 1, 2, 2, 2, 3, 3, 3, 3, 3, 2, 2, 2, 1, 1, + 1, 1, 2, 2, 3, 3, 3, 4, 3, 3, 3, 2, 2, 1, 1, + 1, 1, 2, 2, 3, 3, 4, 4, 4, 3, 3, 2, 2, 1, 1, + 1, 1, 2, 2, 3, 3, 3, 4, 3, 3, 3, 2, 2, 1, 1, + 1, 1, 2, 2, 2, 3, 3, 3, 3, 3, 2, 2, 2, 1, 1, + 1, 1, 2, 2, 2, 2, 3, 3, 3, 2, 2, 2, 2, 1, 1, + 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 1, 1, + 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 1, 1, 1, 1, + 0, 1, 1, 1, 1, 1, 2, 2, 2, 1, 1, 1, 1, 1, 0, + 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0 + ] + } + }, + "exposure_modes": + { + "normal": + { + "shutter": [ 100, 15000, 30000, 60000, 120000 ], + "gain": [ 1.0, 2.0, 3.0, 4.0, 6.0 ] + } + }, + "constraint_modes": + { + "normal": [ + { + "bound": "LOWER", + "q_lo": 0.98, + "q_hi": 1.0, + "y_target": + [ + 0, 0.4, + 1000, 0.4 + ] + } + ] + }, + "y_target": + [ + 0, 0.16, + 1000, 0.165, + 10000, 0.17 + ] + } + }, + { + "rpi.ccm": + { + "ccms": [ + { + "ct": 4000, + "ccm": + [ + 2.0, -1.0, 0.0, + -0.5, 2.0, -0.5, + 0, -1.0, 2.0 + ] + } + ] + } + }, + { + "rpi.contrast": + { + "ce_enable": 0, + "gamma_curve": + [ + 0, 0, + 1024, 5040, + 2048, 9338, + 3072, 12356, + 4096, 15312, + 5120, 18051, + 6144, 20790, + 7168, 23193, + 8192, 25744, + 9216, 27942, + 10240, 30035, + 11264, 32005, + 12288, 33975, + 13312, 35815, + 14336, 37600, + 15360, 39168, + 16384, 40642, + 18432, 43379, + 20480, 45749, + 22528, 47753, + 24576, 49621, + 26624, 51253, + 28672, 52698, + 30720, 53796, + 32768, 54876, + 36864, 57012, + 40960, 58656, + 45056, 59954, + 49152, 61183, + 53248, 62355, + 57344, 63419, + 61440, 64476, + 65535, 65535 + ] + } + } + ] +}
\ No newline at end of file diff --git a/src/ipa/rpi/pisp/meson.build b/src/ipa/rpi/pisp/meson.build new file mode 100644 index 00000000..878e3492 --- /dev/null +++ b/src/ipa/rpi/pisp/meson.build @@ -0,0 +1,49 @@ +# SPDX-License-Identifier: CC0-1.0 + +ipa_name = 'ipa_rpi_pisp' + +pisp_ipa_deps = [ + libcamera_private, + libatomic, + libpisp_dep, +] + +pisp_ipa_libs = [ + rpi_ipa_cam_helper_lib, + rpi_ipa_common_lib, + rpi_ipa_controller_lib +] + +pisp_ipa_includes = [ + ipa_includes, + libipa_includes, +] + +pisp_ipa_sources = files([ + 'pisp.cpp', +]) + +pisp_ipa_includes += include_directories('..') + +mod = shared_module(ipa_name, pisp_ipa_sources, + name_prefix : '', + include_directories : pisp_ipa_includes, + dependencies : pisp_ipa_deps, + link_with : libipa, + link_whole : pisp_ipa_libs, + install : true, + cpp_args : '-Wno-address-of-packed-member', + install_dir : ipa_install_dir) + +if ipa_sign_module + custom_target(ipa_name + '.so.sign', + input : mod, + output : ipa_name + '.so.sign', + command : [ipa_sign, ipa_priv_key, '@INPUT@', '@OUTPUT@'], + install : false, + build_by_default : true) +endif + +subdir('data') + +ipa_names += ipa_name diff --git a/src/ipa/rpi/pisp/pisp.cpp b/src/ipa/rpi/pisp/pisp.cpp new file mode 100644 index 00000000..bb50a9e0 --- /dev/null +++ b/src/ipa/rpi/pisp/pisp.cpp @@ -0,0 +1,1068 @@ +/* SPDX-License-Identifier: BSD-2-Clause */ +/* + * Copyright (C) 2023, Raspberry Pi Ltd + * + * pisp.cpp - Raspberry Pi PiSP IPA + */ +#include <algorithm> +#include <cmath> +#include <mutex> +#include <string> +#include <sys/mman.h> +#include <utility> +#include <vector> + +#include <libcamera/base/log.h> +#include <libcamera/control_ids.h> +#include <libcamera/ipa/ipa_module_info.h> +#include <libipa/pwl.h> + +#include "libpisp/backend/backend.hpp" +#include "libpisp/frontend/frontend.hpp" + +#include "common/ipa_base.h" +#include "controller/af_status.h" +#include "controller/agc_algorithm.h" +#include "controller/alsc_status.h" +#include "controller/awb_algorithm.h" +#include "controller/awb_status.h" +#include "controller/black_level_algorithm.h" +#include "controller/black_level_status.h" +#include "controller/cac_status.h" +#include "controller/ccm_status.h" +#include "controller/contrast_status.h" +#include "controller/denoise_algorithm.h" +#include "controller/denoise_status.h" +#include "controller/dpc_status.h" +#include "controller/geq_status.h" +#include "controller/hdr_status.h" +#include "controller/lux_status.h" +#include "controller/noise_status.h" +#include "controller/saturation_status.h" +#include "controller/sharpen_status.h" +#include "controller/stitch_status.h" +#include "controller/tonemap_status.h" + +using namespace std::literals::chrono_literals; + +namespace libcamera { + +LOG_DECLARE_CATEGORY(IPARPI) + +namespace { + +constexpr unsigned int NumLscCells = PISP_BE_LSC_GRID_SIZE; +constexpr unsigned int NumLscVertexes = NumLscCells + 1; + +inline int32_t clampField(double value, std::size_t fieldBits, std::size_t fracBits = 0, + bool isSigned = false, const char *desc = nullptr) +{ + ASSERT(fracBits <= fieldBits && fieldBits <= 32); + + int min = -(isSigned << (fieldBits - 1)); + int max = (1 << (fieldBits - isSigned)) - 1; + int32_t val = + std::clamp<int32_t>(std::round(value * (1 << fracBits)), min, max); + + if (desc && val / (1 << fracBits) != value) + LOG(IPARPI, Warning) + << desc << " rounded/clamped to " << val / (1 << fracBits); + + return val; +} + +int generateLut(const ipa::Pwl &pwl, uint32_t *lut, std::size_t lutSize, + unsigned int SlopeBits = 14, unsigned int PosBits = 16) +{ + if (pwl.empty()) + return -EINVAL; + + int lastY = 0; + for (unsigned int i = 0; i < lutSize; i++) { + int x, y; + if (i < 32) + x = i * 512; + else if (i < 48) + x = (i - 32) * 1024 + 16384; + else + x = std::min(65535u, (i - 48) * 2048 + 32768); + + y = pwl.eval(x); + if (y < 0 || (i && y < lastY)) { + LOG(IPARPI, Error) + << "Malformed PWL for Gamma, disabling!"; + return -1; + } + + if (i) { + unsigned int slope = y - lastY; + if (slope >= (1u << SlopeBits)) { + slope = (1u << SlopeBits) - 1; + LOG(IPARPI, Info) + << ("Maximum Gamma slope exceeded, adjusting!"); + y = lastY + slope; + } + lut[i - 1] |= slope << PosBits; + } + + lut[i] = y; + lastY = y; + } + + return 0; +} + +void packLscLut(uint32_t packed[NumLscVertexes][NumLscVertexes], + double const rgb[3][NumLscVertexes][NumLscVertexes]) +{ + for (unsigned int y = 0; y < NumLscVertexes; ++y) { + for (unsigned int x = 0; x < NumLscVertexes; ++x) { + /* Jointly encode RGB gains in one of 4 ranges: [0.5:1.5), [0:2), [0:4), [0:8) */ + double lo = std::min({ rgb[0][y][x], rgb[1][y][x], rgb[2][y][x] }); + double hi = std::max({ rgb[0][y][x], rgb[1][y][x], rgb[2][y][x] }); + uint32_t range; + double scale, offset; + if (lo >= 0.5 && hi < 1.5) { + range = 0; + scale = 1024.0; + offset = -511.5; + } else if (hi < 2.0) { + range = 1; + scale = 512.0; + offset = 0.5; + } else if (hi < 4.0) { + range = 2; + scale = 256.0; + offset = 0.5; + } else { + range = 3; + scale = 128.0; + offset = 0.5; + } + int r = clampField(offset + scale * rgb[0][y][x], 10); + int g = clampField(offset + scale * rgb[1][y][x], 10); + int b = clampField(offset + scale * rgb[2][y][x], 10); + packed[y][x] = (range << 30) | (b << 20) | (g << 10) | r; + } + } +} + +/* + * Resamples a srcW x srcH table with central sampling to destW x destH with + * corner sampling. + */ +void resampleTable(double *dest, int destW, int destH, double const *src, + int srcW, int srcH) +{ + /* + * Precalculate and cache the x sampling locations and phases to + * save recomputing them on every row. + */ + ASSERT(destW > 1 && destH > 1 && destW <= 64); + int xLo[64], xHi[64]; + double xf[64]; + double x = -0.5, xInc = srcW / (destW - 1); + for (int i = 0; i < destW; i++, x += xInc) { + xLo[i] = floor(x); + xf[i] = x - xLo[i]; + xHi[i] = xLo[i] < (srcW - 1) ? (xLo[i] + 1) : (srcW - 1); + xLo[i] = xLo[i] > 0 ? xLo[i] : 0; + } + + /* Now march over the output table generating the new values. */ + double y = -0.5, yInc = srcH / (destH - 1); + for (int j = 0; j < destH; j++, y += yInc) { + int yLo = floor(y); + double yf = y - yLo; + int yHi = yLo < (srcH - 1) ? (yLo + 1) : (srcH - 1); + yLo = yLo > 0 ? yLo : 0; + double const *rowAbove = src + yLo * srcW; + double const *rowBelow = src + yHi * srcW; + for (int i = 0; i < destW; i++) { + double above = rowAbove[xLo[i]] * (1 - xf[i]) + + rowAbove[xHi[i]] * xf[i]; + double below = rowBelow[xLo[i]] * (1 - xf[i]) + + rowBelow[xHi[i]] * xf[i]; + *(dest++) = above * (1 - yf) + below * yf; + } + } +} + +} /* namespace */ + +using ::libpisp::BackEnd; +using ::libpisp::FrontEnd; + +namespace ipa::RPi { + +class IpaPiSP final : public IpaBase +{ +public: + IpaPiSP() + : IpaBase(), fe_(nullptr), be_(nullptr) + { + } + + ~IpaPiSP() + { + if (fe_) + munmap(fe_, sizeof(FrontEnd)); + if (be_) + munmap(be_, sizeof(BackEnd)); + } + +private: + int32_t platformInit(const InitParams ¶ms, InitResult *result) override; + int32_t platformStart(const ControlList &controls, StartResult *result) override; + int32_t platformConfigure(const ConfigParams ¶ms, ConfigResult *result) override; + + void platformPrepareIsp(const PrepareParams ¶ms, + RPiController::Metadata &rpiMetadata) override; + RPiController::StatisticsPtr platformProcessStats(Span<uint8_t> mem) override; + + void handleControls(const ControlList &controls) override; + + void applyWBG(const AwbStatus *awbStatus, const AgcPrepareStatus *agcStatus, + pisp_be_global_config &global); + void applyDgOnly(const AgcPrepareStatus *agcPrepareStatus, pisp_be_global_config &global); + void applyCAC(const CacStatus *cacStatus, pisp_be_global_config &global); + void applyContrast(const ContrastStatus *contrastStatus, + pisp_be_global_config &global); + void applyCCM(const CcmStatus *ccmStatus, pisp_be_global_config &global); + void applyBlackLevel(const BlackLevelStatus *blackLevelStatus, + pisp_be_global_config &global); + void applyLensShading(const AlscStatus *alscStatus, + pisp_be_global_config &global); + void applyDPC(const DpcStatus *dpcStatus, pisp_be_global_config &global); + void applySdn(const SdnStatus *sdnStatus, pisp_be_global_config &global); + void applyTdn(const TdnStatus *tdnStatus, const DeviceStatus *deviceStatus, + pisp_be_global_config &global); + void applyCdn(const CdnStatus *cdnStatus, pisp_be_global_config &global); + void applyGeq(const GeqStatus *geqStatus, pisp_be_global_config &global); + void applySaturation(const SaturationStatus *geqStatus, + pisp_be_global_config &global); + void applySharpen(const SharpenStatus *sharpenStatus, + pisp_be_global_config &global); + bool applyStitch(const StitchStatus *stitchStatus, const DeviceStatus *deviceStatus, + const AgcStatus *agcStatus, pisp_be_global_config &global); + void applyTonemap(const TonemapStatus *tonemapStatus, + pisp_be_global_config &global); + void applyFocusStats(const NoiseStatus *noiseStatus); + void applyAF(const struct AfStatus *afStatus, ControlList &lensCtrls); + + void setDefaultConfig(); + void setStatsAndDebin(); + void setHistogramWeights(); + + /* Frontend/Backend objects passed in from the pipeline handler. */ + SharedFD feFD_; + SharedFD beFD_; + FrontEnd *fe_; + BackEnd *be_; + + /* TDN/HDR runtime need the following state. */ + bool tdnReset_; + utils::Duration lastExposure_; + std::map<std::string, utils::Duration> lastStitchExposures_; + HdrStatus lastStitchHdrStatus_; +}; + +int32_t IpaPiSP::platformInit(const InitParams ¶ms, + [[maybe_unused]] InitResult *result) +{ + const std::string &target = controller_.getTarget(); + if (target != "pisp") { + LOG(IPARPI, Error) + << "Tuning data file target returned \"" << target << "\"" + << ", expected \"pisp\""; + return -EINVAL; + } + + /* Acquire the Frontend and Backend objects. */ + feFD_ = std::move(params.fe); + beFD_ = std::move(params.be); + + if (!feFD_.isValid() || !beFD_.isValid()) { + LOG(IPARPI, Error) << "Invalid FE/BE handles!"; + return -ENODEV; + } + + fe_ = static_cast<FrontEnd *>(mmap(nullptr, sizeof(FrontEnd), + PROT_READ | PROT_WRITE, MAP_SHARED, + feFD_.get(), 0)); + be_ = static_cast<BackEnd *>(mmap(nullptr, sizeof(BackEnd), + PROT_READ | PROT_WRITE, MAP_SHARED, + beFD_.get(), 0)); + + if (!fe_ || !be_) { + LOG(IPARPI, Error) << "Unable to map FE/BE handles!"; + return -ENODEV; + } + + setDefaultConfig(); + + return 0; +} + +int32_t IpaPiSP::platformStart([[maybe_unused]] const ControlList &controls, + [[maybe_unused]] StartResult *result) +{ + tdnReset_ = true; + + /* Cause the stitch block to be reset correctly. */ + lastStitchHdrStatus_ = HdrStatus(); + + return 0; +} + +int32_t IpaPiSP::platformConfigure([[maybe_unused]] const ConfigParams ¶ms, + [[maybe_unused]] ConfigResult *result) +{ + setStatsAndDebin(); + return 0; +} + +void IpaPiSP::platformPrepareIsp([[maybe_unused]] const PrepareParams ¶ms, + RPiController::Metadata &rpiMetadata) +{ + std::scoped_lock<RPiController::Metadata> l(rpiMetadata); + + pisp_be_global_config global; + be_->GetGlobal(global); + + global.bayer_enables &= ~(PISP_BE_BAYER_ENABLE_BLC + PISP_BE_BAYER_ENABLE_WBG + + PISP_BE_BAYER_ENABLE_GEQ + PISP_BE_BAYER_ENABLE_LSC + + PISP_BE_BAYER_ENABLE_SDN + PISP_BE_BAYER_ENABLE_CDN + + PISP_BE_BAYER_ENABLE_TDN_OUTPUT + PISP_BE_BAYER_ENABLE_TDN_INPUT + + PISP_BE_BAYER_ENABLE_STITCH_INPUT + PISP_BE_BAYER_ENABLE_STITCH_OUTPUT + + PISP_BE_BAYER_ENABLE_STITCH + PISP_BE_BAYER_ENABLE_TONEMAP); + /* We leave the YCbCr and inverse conversion enabled in case of false colour or sharpening. */ + global.rgb_enables &= ~(PISP_BE_RGB_ENABLE_GAMMA + PISP_BE_RGB_ENABLE_CCM + + PISP_BE_RGB_ENABLE_SHARPEN + PISP_BE_RGB_ENABLE_SAT_CONTROL); + + NoiseStatus *noiseStatus = rpiMetadata.getLocked<NoiseStatus>("noise.status"); + AgcPrepareStatus *agcPrepareStatus = rpiMetadata.getLocked<AgcPrepareStatus>("agc.prepare_status"); + + { + /* All Frontend config goes first, we do not want to hold the FE lock for long! */ + std::scoped_lock<FrontEnd> lf(*fe_); + + if (noiseStatus) + applyFocusStats(noiseStatus); + + BlackLevelStatus *blackLevelStatus = + rpiMetadata.getLocked<BlackLevelStatus>("black_level.status"); + if (blackLevelStatus) + applyBlackLevel(blackLevelStatus, global); + + AwbStatus *awbStatus = rpiMetadata.getLocked<AwbStatus>("awb.status"); + if (awbStatus && agcPrepareStatus) { + /* Applies digital gain as well. */ + applyWBG(awbStatus, agcPrepareStatus, global); + } else if (agcPrepareStatus) { + /* Mono sensor fallback for digital gain. */ + applyDgOnly(agcPrepareStatus, global); + } + } + + CacStatus *cacStatus = rpiMetadata.getLocked<CacStatus>("cac.status"); + if (cacStatus) + applyCAC(cacStatus, global); + + ContrastStatus *contrastStatus = + rpiMetadata.getLocked<ContrastStatus>("contrast.status"); + if (contrastStatus) + applyContrast(contrastStatus, global); + + CcmStatus *ccmStatus = rpiMetadata.getLocked<CcmStatus>("ccm.status"); + if (ccmStatus) + applyCCM(ccmStatus, global); + + AlscStatus *alscStatus = rpiMetadata.getLocked<AlscStatus>("alsc.status"); + if (alscStatus) + applyLensShading(alscStatus, global); + + DpcStatus *dpcStatus = rpiMetadata.getLocked<DpcStatus>("dpc.status"); + if (dpcStatus) + applyDPC(dpcStatus, global); + + SdnStatus *sdnStatus = rpiMetadata.getLocked<SdnStatus>("sdn.status"); + if (sdnStatus) + applySdn(sdnStatus, global); + + DeviceStatus *deviceStatus = rpiMetadata.getLocked<DeviceStatus>("device.status"); + TdnStatus *tdnStatus = rpiMetadata.getLocked<TdnStatus>("tdn.status"); + if (tdnStatus && deviceStatus) + applyTdn(tdnStatus, deviceStatus, global); + + CdnStatus *cdnStatus = rpiMetadata.getLocked<CdnStatus>("cdn.status"); + if (cdnStatus) + applyCdn(cdnStatus, global); + + GeqStatus *geqStatus = rpiMetadata.getLocked<GeqStatus>("geq.status"); + if (geqStatus) + applyGeq(geqStatus, global); + + SaturationStatus *saturationStatus = + rpiMetadata.getLocked<SaturationStatus>("saturation.status"); + if (saturationStatus) + applySaturation(saturationStatus, global); + + SharpenStatus *sharpenStatus = rpiMetadata.getLocked<SharpenStatus>("sharpen.status"); + if (sharpenStatus) + applySharpen(sharpenStatus, global); + + StitchStatus *stitchStatus = rpiMetadata.getLocked<StitchStatus>("stitch.status"); + if (stitchStatus) { + /* + * Note that it's the *delayed* AGC status that contains the HDR mode/channel + * info that pertains to this frame! + */ + AgcStatus *agcStatus = rpiMetadata.getLocked<AgcStatus>("agc.delayed_status"); + /* prepareIsp() will fetch this value. Maybe pass it back differently? */ + stitchSwapBuffers_ = applyStitch(stitchStatus, deviceStatus, agcStatus, global); + } else + lastStitchHdrStatus_ = HdrStatus(); + + TonemapStatus *tonemapStatus = rpiMetadata.getLocked<TonemapStatus>("tonemap.status"); + if (tonemapStatus) + applyTonemap(tonemapStatus, global); + + be_->SetGlobal(global); + + /* Save this for TDN and HDR on the next frame. */ + lastExposure_ = deviceStatus->exposureTime * deviceStatus->analogueGain; + + /* Lens control */ + const AfStatus *afStatus = rpiMetadata.getLocked<AfStatus>("af.status"); + if (afStatus) { + ControlList lensctrls(lensCtrls_); + applyAF(afStatus, lensctrls); + if (!lensctrls.empty()) + setLensControls.emit(lensctrls); + } +} + +RPiController::StatisticsPtr IpaPiSP::platformProcessStats(Span<uint8_t> mem) +{ + using namespace RPiController; + + const pisp_statistics *stats = reinterpret_cast<pisp_statistics *>(mem.data()); + + unsigned int i; + StatisticsPtr statistics = + std::make_unique<Statistics>(Statistics::AgcStatsPos::PostWb, + Statistics::ColourStatsPos::PreLsc); + + /* RGB histograms are not used, so do not populate them. */ + statistics->yHist = RPiController::Histogram(stats->agc.histogram, + PISP_AGC_STATS_NUM_BINS); + + statistics->awbRegions.init({ PISP_AWB_STATS_SIZE, PISP_AWB_STATS_SIZE }); + for (i = 0; i < statistics->awbRegions.numRegions(); i++) + statistics->awbRegions.set(i, { { stats->awb.zones[i].R_sum, + stats->awb.zones[i].G_sum, + stats->awb.zones[i].B_sum }, + stats->awb.zones[i].counted, 0 }); + + /* AGC region sums only get collected on floating zones. */ + statistics->agcRegions.init({ 0, 0 }, PISP_FLOATING_STATS_NUM_ZONES); + for (i = 0; i < statistics->agcRegions.numRegions(); i++) + statistics->agcRegions.setFloating(i, + { { 0, 0, 0, stats->agc.floating[i].Y_sum }, + stats->agc.floating[i].counted, 0 }); + + statistics->focusRegions.init({ PISP_CDAF_STATS_SIZE, PISP_CDAF_STATS_SIZE }); + for (i = 0; i < statistics->focusRegions.numRegions(); i++) + statistics->focusRegions.set(i, { stats->cdaf.foms[i] >> 20, 0, 0 }); + + if (statsMetadataOutput_) { + Span<const uint8_t> statsSpan(reinterpret_cast<const uint8_t *>(stats), + sizeof(pisp_statistics)); + libcameraMetadata_.set(controls::rpi::PispStatsOutput, statsSpan); + } + + return statistics; +} + +void IpaPiSP::handleControls(const ControlList &controls) +{ + for (auto const &ctrl : controls) { + switch (ctrl.first) { + case controls::HDR_MODE: + case controls::AE_METERING_MODE: + setHistogramWeights(); + break; + + case controls::draft::NOISE_REDUCTION_MODE: { + RPiController::DenoiseAlgorithm *denoise = dynamic_cast<RPiController::DenoiseAlgorithm *>( + controller_.getAlgorithm("denoise")); + + if (!denoise) { + LOG(IPARPI, Warning) + << "Could not set NOISE_REDUCTION_MODE - no Denoise algorithm"; + return; + } + + if (ctrl.second.get<int32_t>() == controls::draft::NoiseReductionModeOff) + denoise->setMode(RPiController::DenoiseMode::Off); + else + denoise->setMode(RPiController::DenoiseMode::ColourHighQuality); + + break; + } + } + } +} + +void IpaPiSP::applyWBG(const AwbStatus *awbStatus, const AgcPrepareStatus *agcPrepareStatus, + pisp_be_global_config &global) +{ + pisp_wbg_config wbg; + pisp_fe_rgby_config rgby = {}; + double dg = agcPrepareStatus ? agcPrepareStatus->digitalGain : 1.0; + + wbg.gain_r = clampField(dg * awbStatus->gainR, 14, 10); + wbg.gain_g = clampField(dg * awbStatus->gainG, 14, 10); + wbg.gain_b = clampField(dg * awbStatus->gainB, 14, 10); + + /* + * The YCbCr conversion block should contain the appropriate YCbCr + * matrix. We should not rely on the CSC0 block as that might be + * programmed for RGB outputs. + */ + pisp_be_ccm_config csc; + be_->GetYcbcr(csc); + + /* The CSC coefficients already have the << 10 scaling applied. */ + rgby.gain_r = clampField(csc.coeffs[0] * awbStatus->gainR, 14); + rgby.gain_g = clampField(csc.coeffs[1] * awbStatus->gainG, 14); + rgby.gain_b = clampField(csc.coeffs[2] * awbStatus->gainB, 14); + + LOG(IPARPI, Debug) << "Applying WB R: " << awbStatus->gainR << " B: " + << awbStatus->gainB; + + be_->SetWbg(wbg); + fe_->SetRGBY(rgby); + global.bayer_enables |= PISP_BE_BAYER_ENABLE_WBG; +} + +void IpaPiSP::applyDgOnly(const AgcPrepareStatus *agcPrepareStatus, pisp_be_global_config &global) +{ + pisp_wbg_config wbg; + + wbg.gain_r = clampField(agcPrepareStatus->digitalGain, 14, 10); + wbg.gain_g = clampField(agcPrepareStatus->digitalGain, 14, 10); + wbg.gain_b = clampField(agcPrepareStatus->digitalGain, 14, 10); + + LOG(IPARPI, Debug) << "Applying DG (only) : " << agcPrepareStatus->digitalGain; + + be_->SetWbg(wbg); + global.bayer_enables |= PISP_BE_BAYER_ENABLE_WBG; +} + +void IpaPiSP::applyContrast(const ContrastStatus *contrastStatus, + pisp_be_global_config &global) +{ + pisp_be_gamma_config gamma; + + if (!generateLut(contrastStatus->gammaCurve, gamma.lut, PISP_BE_GAMMA_LUT_SIZE)) { + be_->SetGamma(gamma); + global.rgb_enables |= PISP_BE_RGB_ENABLE_GAMMA; + } +} + +void IpaPiSP::applyCCM(const CcmStatus *ccmStatus, pisp_be_global_config &global) +{ + pisp_be_ccm_config ccm = {}; + + for (unsigned int i = 0; i < 9; i++) + ccm.coeffs[i] = clampField(ccmStatus->matrix[i], 14, 10, true); + + be_->SetCcm(ccm); + global.rgb_enables |= PISP_BE_RGB_ENABLE_CCM; +} + +void IpaPiSP::applyCAC(const CacStatus *cacStatus, pisp_be_global_config &global) +{ + pisp_be_cac_config cac = {}; + + for (int x = 0; x < PISP_BE_CAC_GRID_SIZE + 1; x++) { + for (int y = 0; y < PISP_BE_CAC_GRID_SIZE + 1; y++) { + cac.lut[y][x][0][0] = clampField(cacStatus->lutRx[y * (PISP_BE_CAC_GRID_SIZE + 1) + x], 7, 5, true); + cac.lut[y][x][0][1] = clampField(cacStatus->lutRy[y * (PISP_BE_CAC_GRID_SIZE + 1) + x], 7, 5, true); + cac.lut[y][x][1][0] = clampField(cacStatus->lutBx[y * (PISP_BE_CAC_GRID_SIZE + 1) + x], 7, 5, true); + cac.lut[y][x][1][1] = clampField(cacStatus->lutBy[y * (PISP_BE_CAC_GRID_SIZE + 1) + x], 7, 5, true); + } + } + + be_->SetCac(cac); + global.bayer_enables |= PISP_BE_BAYER_ENABLE_CAC; +} + +void IpaPiSP::applyBlackLevel(const BlackLevelStatus *blackLevelStatus, pisp_be_global_config &global) +{ + uint16_t minBlackLevel = std::min({ blackLevelStatus->blackLevelR, blackLevelStatus->blackLevelG, + blackLevelStatus->blackLevelB }); + pisp_bla_config bla; + + /* + * Set the Frontend to adjust the black level to the smallest black level + * of all channels (in 16-bits). + */ + bla.black_level_r = blackLevelStatus->blackLevelR; + bla.black_level_gr = blackLevelStatus->blackLevelG; + bla.black_level_gb = blackLevelStatus->blackLevelG; + bla.black_level_b = blackLevelStatus->blackLevelB; + bla.output_black_level = minBlackLevel; + fe_->SetBla(bla); + + /* Frontend Stats and Backend black level correction. */ + bla.black_level_r = bla.black_level_gr = + bla.black_level_gb = bla.black_level_b = minBlackLevel; + bla.output_black_level = 0; + fe_->SetBlc(bla); + be_->SetBlc(bla); + global.bayer_enables |= PISP_BE_BAYER_ENABLE_BLC; +} + +void IpaPiSP::applyLensShading(const AlscStatus *alscStatus, + pisp_be_global_config &global) +{ + pisp_be_lsc_extra lscExtra = {}; + pisp_be_lsc_config lsc = {}; + double rgb[3][NumLscVertexes][NumLscVertexes] = {}; + + resampleTable(&rgb[0][0][0], NumLscVertexes, NumLscVertexes, + alscStatus->r.data(), NumLscCells, NumLscCells); + resampleTable(&rgb[1][0][0], NumLscVertexes, NumLscVertexes, + alscStatus->g.data(), NumLscCells, NumLscCells); + resampleTable(&rgb[2][0][0], NumLscVertexes, NumLscVertexes, + alscStatus->b.data(), NumLscCells, NumLscCells); + packLscLut(lsc.lut_packed, rgb); + be_->SetLsc(lsc, lscExtra); + global.bayer_enables |= PISP_BE_BAYER_ENABLE_LSC; +} + +void IpaPiSP::applyDPC(const DpcStatus *dpcStatus, pisp_be_global_config &global) +{ + pisp_be_dpc_config dpc = {}; + + switch (dpcStatus->strength) { + case 0: /* "off" */ + break; + case 1: /* "normal" */ + dpc.coeff_level = 1; + dpc.coeff_range = 8; + global.bayer_enables |= PISP_BE_BAYER_ENABLE_DPC; + break; + case 2: /* "strong" */ + dpc.coeff_level = 0; + dpc.coeff_range = 0; + global.bayer_enables |= PISP_BE_BAYER_ENABLE_DPC; + break; + default: + ASSERT(0); + } + + be_->SetDpc(dpc); +} + +void IpaPiSP::applySdn(const SdnStatus *sdnStatus, pisp_be_global_config &global) +{ + pisp_be_sdn_config sdn = {}; + pisp_bla_config blc; + + be_->GetBlc(blc); + /* All R/G/B black levels are the same value in the BE after FE alignment */ + sdn.black_level = blc.black_level_r; + /* leakage is "amount of the original pixel we let through", thus 1 - strength */ + sdn.leakage = clampField(1.0 - sdnStatus->strength, 8, 8); + sdn.noise_constant = clampField(sdnStatus->noiseConstant, 16); + sdn.noise_slope = clampField(sdnStatus->noiseSlope, 16, 8); + sdn.noise_constant2 = clampField(sdnStatus->noiseConstant2, 16); + sdn.noise_slope2 = clampField(sdnStatus->noiseSlope2, 16, 8); + be_->SetSdn(sdn); + global.bayer_enables |= PISP_BE_BAYER_ENABLE_SDN; +} + +void IpaPiSP::applyTdn(const TdnStatus *tdnStatus, const DeviceStatus *deviceStatus, + pisp_be_global_config &global) +{ + utils::Duration exposure = deviceStatus->exposureTime * deviceStatus->analogueGain; + pisp_be_tdn_config tdn = {}; + + double ratio = tdnReset_ ? 1.0 : exposure / lastExposure_; + if (ratio >= 4.0) { + /* If the exposure ratio goes above 4x, we need to reset TDN. */ + ratio = 1; + tdnReset_ = true; + } + + LOG(IPARPI, Debug) << "TDN: exposure: " << exposure + << " last: " << lastExposure_ + << " ratio: " << ratio; + + pisp_bla_config blc; + be_->GetBlc(blc); + /* All R/G/B black levels are the same value in the BE after FE alignment */ + tdn.black_level = blc.black_level_r; + tdn.ratio = clampField(ratio, 16, 14); + tdn.noise_constant = clampField(tdnStatus->noiseConstant, 16); + tdn.noise_slope = clampField(tdnStatus->noiseSlope, 16, 8); + tdn.threshold = clampField(tdnStatus->threshold, 16, 16); + + global.bayer_enables |= PISP_BE_BAYER_ENABLE_TDN + PISP_BE_BAYER_ENABLE_TDN_OUTPUT; + + /* Only enable the TDN Input after a state reset. */ + if (!tdnReset_) { + global.bayer_enables |= PISP_BE_BAYER_ENABLE_TDN_INPUT; + tdn.reset = 0; + } else + tdn.reset = 1; + + be_->SetTdn(tdn); + tdnReset_ = false; +} + +void IpaPiSP::applyCdn(const CdnStatus *cdnStatus, pisp_be_global_config &global) +{ + pisp_be_cdn_config cdn = {}; + + cdn.thresh = clampField(cdnStatus->threshold, 16); + cdn.iir_strength = clampField(cdnStatus->strength, 8, 8); + cdn.g_adjust = clampField(0, 8, 8); + be_->SetCdn(cdn); + global.bayer_enables |= PISP_BE_BAYER_ENABLE_CDN; +} + +void IpaPiSP::applyGeq(const GeqStatus *geqStatus, pisp_be_global_config &global) +{ + pisp_be_geq_config geq = {}; + + geq.min = 0; + geq.max = 0xffff; + geq.offset = clampField(geqStatus->offset, 16); + geq.slope_sharper = clampField(geqStatus->slope, 10, 10); + be_->SetGeq(geq); + global.bayer_enables |= PISP_BE_BAYER_ENABLE_GEQ; +} + +void IpaPiSP::applySaturation(const SaturationStatus *saturationStatus, + pisp_be_global_config &global) +{ + pisp_be_sat_control_config saturation; + pisp_wbg_config wbg; + + saturation.shift_r = std::min<uint8_t>(2, saturationStatus->shiftR); + saturation.shift_g = std::min<uint8_t>(2, saturationStatus->shiftG); + saturation.shift_b = std::min<uint8_t>(2, saturationStatus->shiftB); + be_->SetSatControl(saturation); + + be_->GetWbg(wbg); + wbg.gain_r >>= saturationStatus->shiftR; + wbg.gain_g >>= saturationStatus->shiftG; + wbg.gain_b >>= saturationStatus->shiftB; + be_->SetWbg(wbg); + + global.rgb_enables |= PISP_BE_RGB_ENABLE_SAT_CONTROL; +} + +void IpaPiSP::applySharpen(const SharpenStatus *sharpenStatus, + pisp_be_global_config &global) +{ + /* + * This threshold scaling is to normalise the VC4 and PiSP parameter + * scales in the tuning config. + */ + static constexpr double ThresholdScaling = 0.25; + const double scaling = sharpenStatus->threshold * ThresholdScaling; + + pisp_be_sh_fc_combine_config shfc; + pisp_be_sharpen_config sharpen; + + be_->InitialiseSharpen(sharpen, shfc); + sharpen.threshold_offset0 = clampField(sharpen.threshold_offset0 * scaling, 16); + sharpen.threshold_offset1 = clampField(sharpen.threshold_offset1 * scaling, 16); + sharpen.threshold_offset2 = clampField(sharpen.threshold_offset2 * scaling, 16); + sharpen.threshold_offset3 = clampField(sharpen.threshold_offset3 * scaling, 16); + sharpen.threshold_offset4 = clampField(sharpen.threshold_offset4 * scaling, 16); + sharpen.threshold_slope0 = clampField(sharpen.threshold_slope0 * scaling, 12); + sharpen.threshold_slope1 = clampField(sharpen.threshold_slope1 * scaling, 12); + sharpen.threshold_slope2 = clampField(sharpen.threshold_slope2 * scaling, 12); + sharpen.threshold_slope3 = clampField(sharpen.threshold_slope3 * scaling, 12); + sharpen.threshold_slope4 = clampField(sharpen.threshold_slope4 * scaling, 12); + sharpen.positive_strength = clampField(sharpen.positive_strength * sharpenStatus->strength, 12); + sharpen.negative_strength = clampField(sharpen.negative_strength * sharpenStatus->strength, 12); + sharpen.positive_pre_limit = clampField(sharpen.positive_pre_limit * sharpenStatus->limit, 16); + sharpen.positive_limit = clampField(sharpen.positive_limit * sharpenStatus->limit, 16); + sharpen.negative_pre_limit = clampField(sharpen.negative_pre_limit * sharpenStatus->limit, 16); + sharpen.negative_limit = clampField(sharpen.negative_limit * sharpenStatus->limit, 16); + + be_->SetSharpen(sharpen); + /* The conversion to YCbCr and back is always enabled. */ + global.rgb_enables |= PISP_BE_RGB_ENABLE_SHARPEN; +} + +bool IpaPiSP::applyStitch(const StitchStatus *stitchStatus, const DeviceStatus *deviceStatus, + const AgcStatus *agcStatus, pisp_be_global_config &global) +{ + /* + * Find out what HDR mode/channel this frame is. Normally this will be in the delayed + * HDR status (in the AGC status), though after a mode switch this will be absent and + * the information will have been stored in the hdrStatus_ field. + */ + const HdrStatus *hdrStatus = &hdrStatus_; + if (agcStatus) + hdrStatus = &agcStatus->hdr; + + bool modeChange = hdrStatus->mode != lastStitchHdrStatus_.mode; + bool channelChange = !modeChange && hdrStatus->channel != lastStitchHdrStatus_.channel; + lastStitchHdrStatus_ = *hdrStatus; + + /* Check for a change of HDR mode. That forces us to start over. */ + if (modeChange) + lastStitchExposures_.clear(); + + if (hdrStatus->channel != "short" && hdrStatus->channel != "long") { + /* The channel *must* be long or short, anything else does not make sense. */ + LOG(IPARPI, Warning) << "Stitch channel is not long or short"; + return false; + } + + /* Whatever happens, we're going to output this buffer now. */ + global.bayer_enables |= PISP_BE_BAYER_ENABLE_STITCH_OUTPUT; + + utils::Duration exposure = deviceStatus->exposureTime * deviceStatus->analogueGain; + lastStitchExposures_[hdrStatus->channel] = exposure; + + /* If the other channel hasn't been seen there's nothing more we can do. */ + std::string otherChannel = hdrStatus->channel == "short" ? "long" : "short"; + if (lastStitchExposures_.find(otherChannel) == lastStitchExposures_.end()) { + /* The first channel should be "short". */ + if (hdrStatus->channel != "short") + LOG(IPARPI, Warning) << "First frame is not short"; + return false; + } + + /* We have both channels, we need to enable stitching. */ + global.bayer_enables |= PISP_BE_BAYER_ENABLE_STITCH_INPUT + PISP_BE_BAYER_ENABLE_STITCH; + + utils::Duration otherExposure = lastStitchExposures_[otherChannel]; + bool phaseLong = hdrStatus->channel == "long"; + double ratio = phaseLong ? otherExposure / exposure : exposure / otherExposure; + + pisp_be_stitch_config stitch = {}; + stitch.exposure_ratio = clampField(ratio, 15, 15); + if (phaseLong) + stitch.exposure_ratio |= PISP_BE_STITCH_STREAMING_LONG; + /* These will be filled in correctly once we have implemented the HDR algorithm. */ + stitch.threshold_lo = stitchStatus->thresholdLo; + stitch.threshold_diff_power = stitchStatus->diffPower; + stitch.motion_threshold_256 = stitchStatus->motionThreshold; + be_->SetStitch(stitch); + + return channelChange; +} + +void IpaPiSP::applyTonemap(const TonemapStatus *tonemapStatus, pisp_be_global_config &global) +{ + pisp_be_tonemap_config tonemap = {}; + + tonemap.detail_constant = clampField(tonemapStatus->detailConstant, 16); + tonemap.detail_slope = clampField(tonemapStatus->detailSlope, 16, 8); + tonemap.iir_strength = clampField(tonemapStatus->iirStrength, 12, 4); + tonemap.strength = clampField(tonemapStatus->strength, 12, 8); + + if (!generateLut(tonemapStatus->tonemap, tonemap.lut, PISP_BE_TONEMAP_LUT_SIZE)) { + be_->SetTonemap(tonemap); + global.bayer_enables |= PISP_BE_BAYER_ENABLE_TONEMAP; + } +} + +void IpaPiSP::applyFocusStats(const NoiseStatus *noiseStatus) +{ + pisp_fe_cdaf_stats_config cdaf; + fe_->GetCdafStats(cdaf); + + cdaf.noise_constant = noiseStatus->noiseConstant; + cdaf.noise_slope = noiseStatus->noiseSlope; + fe_->SetCdafStats(cdaf); +} + +void IpaPiSP::applyAF(const struct AfStatus *afStatus, ControlList &lensCtrls) +{ + if (afStatus->lensSetting) { + ControlValue v(afStatus->lensSetting.value()); + lensCtrls.set(V4L2_CID_FOCUS_ABSOLUTE, v); + } +} + +void IpaPiSP::setDefaultConfig() +{ + std::scoped_lock<FrontEnd> l(*fe_); + + pisp_be_global_config beGlobal; + pisp_fe_global_config feGlobal; + + fe_->GetGlobal(feGlobal); + be_->GetGlobal(beGlobal); + /* + * Always go to YCbCr and back. We need them if the false colour block is enabled, + * and even for mono sensors if sharpening is enabled. So we're better off enabling + * them all the time. + */ + beGlobal.rgb_enables |= PISP_BE_RGB_ENABLE_YCBCR + PISP_BE_RGB_ENABLE_YCBCR_INVERSE; + + if (!monoSensor()) { + beGlobal.bayer_enables |= PISP_BE_BAYER_ENABLE_DEMOSAIC; + beGlobal.rgb_enables |= PISP_BE_RGB_ENABLE_FALSE_COLOUR; + } + + /* + * Ask the AWB algorithm for reasonable gain values so that we can program the + * front end stats sensibly. We must also factor in the conversion to luminance. + */ + pisp_fe_rgby_config rgby = {}; + double gainR = 1.5, gainB = 1.5; + RPiController::AwbAlgorithm *awb = dynamic_cast<RPiController::AwbAlgorithm *>( + controller_.getAlgorithm("awb")); + if (awb) + awb->initialValues(gainR, gainB); + /* The BT.601 RGB -> Y coefficients will do. The precise values are not critical. */ + rgby.gain_r = clampField(gainR * 0.299, 14, 10); + rgby.gain_g = clampField(1.0 * .587, 14, 10); + rgby.gain_b = clampField(gainB * .114, 14, 10); + fe_->SetRGBY(rgby); + feGlobal.enables |= PISP_FE_ENABLE_RGBY; + + /* Also get sensible front end black level defaults, for the same reason. */ + RPiController::BlackLevelAlgorithm *blackLevel = dynamic_cast<RPiController::BlackLevelAlgorithm *>( + controller_.getAlgorithm("black_level")); + if (blackLevel) { + uint16_t blackLevelR, blackLevelG, blackLevelB; + BlackLevelStatus blackLevelStatus; + + blackLevel->initialValues(blackLevelR, blackLevelG, blackLevelB); + blackLevelStatus.blackLevelR = blackLevelR; + blackLevelStatus.blackLevelG = blackLevelG; + blackLevelStatus.blackLevelB = blackLevelB; + applyBlackLevel(&blackLevelStatus, beGlobal); + feGlobal.enables |= PISP_FE_ENABLE_BLA + PISP_FE_ENABLE_BLC; + } + + fe_->SetGlobal(feGlobal); + be_->SetGlobal(beGlobal); +} + +void IpaPiSP::setStatsAndDebin() +{ + pisp_fe_crop_config crop{ 0, 0, mode_.width, mode_.height }; + + pisp_fe_awb_stats_config awb = {}; + awb.r_lo = awb.g_lo = awb.b_lo = 0; + awb.r_hi = awb.g_hi = awb.b_hi = 65535 * 0.98; + + pisp_fe_cdaf_stats_config cdaf = {}; + cdaf.mode = (1 << 4) + (1 << 2) + 1; /* Gr / Gb count with weights of (1, 1) */ + + { + std::scoped_lock<FrontEnd> l(*fe_); + pisp_fe_global_config feGlobal; + fe_->GetGlobal(feGlobal); + feGlobal.enables |= PISP_FE_ENABLE_AWB_STATS + PISP_FE_ENABLE_AGC_STATS + + PISP_FE_ENABLE_CDAF_STATS; + + fe_->SetGlobal(feGlobal); + fe_->SetStatsCrop(crop); + fe_->SetAwbStats(awb); + fe_->SetCdafStats(cdaf); + } + + /* + * Apply the correct AGC region weights to the Frontend. Need to do this + * out of the Frontend scoped lock. + */ + setHistogramWeights(); + + pisp_be_global_config beGlobal; + be_->GetGlobal(beGlobal); + + if (mode_.binX > 1 || mode_.binY > 1) { + pisp_be_debin_config debin; + + be_->GetDebin(debin); + debin.h_enable = (mode_.binX > 1); + debin.v_enable = (mode_.binY > 1); + be_->SetDebin(debin); + beGlobal.bayer_enables |= PISP_BE_BAYER_ENABLE_DEBIN; + } else + beGlobal.bayer_enables &= ~PISP_BE_BAYER_ENABLE_DEBIN; + + be_->SetGlobal(beGlobal); +} + +void IpaPiSP::setHistogramWeights() +{ + RPiController::AgcAlgorithm *agc = dynamic_cast<RPiController::AgcAlgorithm *>( + controller_.getAlgorithm("agc")); + if (!agc) + return; + + const std::vector<double> &weights = agc->getWeights(); + + pisp_fe_agc_stats_config config; + memset(&config, 0, sizeof(config)); + + /* + * The AGC software gives us a 15x15 table of weights which we + * map onto 16x16 in the hardware, ensuring the rightmost column + * and bottom row all have zero weight. We align everything to + * the native 2x2 Bayer pixel blocks. + */ + const Size &size = controller_.getHardwareConfig().agcZoneWeights; + int width = (mode_.width / size.width) & ~1; + int height = (mode_.height / size.height) & ~1; + config.offset_x = ((mode_.width - size.width * width) / 2) & ~1; + config.offset_y = ((mode_.height - size.height * height) / 2) & ~1; + config.size_x = width; + config.size_y = height; + + unsigned int idx = 0; + for (unsigned int row = 0; row < size.height; row++) { + unsigned int col = 0; + for (; col < size.width / 2; col++) { + int wt0 = clampField(weights[idx++], 4, 0, false, "agc weights"); + int wt1 = clampField(weights[idx++], 4, 0, false, "agc weights"); + config.weights[row * 8 + col] = (wt1 << 4) | wt0; + } + if (size.width & 1) + config.weights[row * 8 + col] = + clampField(weights[idx++], 4, 0, false, "agc weights"); + } + + std::scoped_lock<FrontEnd> l(*fe_); + fe_->SetAgcStats(config); +} + +} /* namespace ipa::RPi */ + +/* + * External IPA module interface + */ +extern "C" { +const IPAModuleInfo ipaModuleInfo = { + IPA_MODULE_API_VERSION, + 1, + "rpi/pisp", + "rpi/pisp", +}; + +IPAInterface *ipaCreate() +{ + return new ipa::RPi::IpaPiSP(); +} + +} /* extern "C" */ + +} /* namespace libcamera */ diff --git a/src/ipa/rpi/vc4/data/imx283.json b/src/ipa/rpi/vc4/data/imx283.json new file mode 100644 index 00000000..bfacecc8 --- /dev/null +++ b/src/ipa/rpi/vc4/data/imx283.json @@ -0,0 +1,313 @@ +{ + "version": 2.0, + "target": "bcm2835", + "algorithms": [ + { + "rpi.black_level": + { + "black_level": 3200 + } + }, + { + "rpi.dpc": { } + }, + { + "rpi.lux": + { + "reference_shutter_speed": 2461, + "reference_gain": 1.0, + "reference_aperture": 1.0, + "reference_lux": 1148, + "reference_Y": 13314 + } + }, + { + "rpi.noise": + { + "reference_constant": 0, + "reference_slope": 2.204 + } + }, + { + "rpi.geq": + { + "offset": 199, + "slope": 0.01947 + } + }, + { + "rpi.sdn": { } + }, + { + "rpi.awb": + { + "priors": [ + { + "lux": 0, + "prior": + [ + 2000, 1.0, + 3000, 0.0, + 13000, 0.0 + ] + }, + { + "lux": 800, + "prior": + [ + 2000, 0.0, + 6000, 2.0, + 13000, 2.0 + ] + }, + { + "lux": 1500, + "prior": + [ + 2000, 0.0, + 4000, 1.0, + 6000, 6.0, + 6500, 7.0, + 7000, 1.0, + 13000, 1.0 + ] + } + ], + "modes": + { + "auto": + { + "lo": 2500, + "hi": 8000 + }, + "incandescent": + { + "lo": 2500, + "hi": 3000 + }, + "tungsten": + { + "lo": 3000, + "hi": 3500 + }, + "fluorescent": + { + "lo": 4000, + "hi": 4700 + }, + "indoor": + { + "lo": 3000, + "hi": 5000 + }, + "daylight": + { + "lo": 5500, + "hi": 6500 + } + }, + "bayes": 1, + "ct_curve": + [ + 2213.0, 0.9607, 0.2593, + 5313.0, 0.4822, 0.5909, + 6237.0, 0.4739, 0.6308 + ], + "sensitivity_r": 1.0, + "sensitivity_b": 1.0, + "transverse_pos": 0.0144, + "transverse_neg": 0.01 + } + }, + { + "rpi.agc": + { + "metering_modes": + { + "centre-weighted": + { + "weights": + [ + 3, 3, 3, 2, 2, 2, 2, 1, 1, 1, 1, 0, 0, 0, 0 + ] + }, + "spot": + { + "weights": + [ + 2, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 + ] + }, + "matrix": + { + "weights": + [ + 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 + ] + } + }, + "exposure_modes": + { + "normal": + { + "shutter": [ 100, 10000, 30000, 60000, 120000 ], + "gain": [ 1.0, 2.0, 4.0, 6.0, 6.0 ] + }, + "short": + { + "shutter": [ 100, 5000, 10000, 20000, 120000 ], + "gain": [ 1.0, 2.0, 4.0, 6.0, 6.0 ] + } + }, + "constraint_modes": + { + "normal": [ + { + "bound": "LOWER", + "q_lo": 0.98, + "q_hi": 1.0, + "y_target": + [ + 0, 0.5, + 1000, 0.5 + ] + } + ], + "highlight": [ + { + "bound": "LOWER", + "q_lo": 0.98, + "q_hi": 1.0, + "y_target": + [ + 0, 0.5, + 1000, 0.5 + ] + }, + { + "bound": "UPPER", + "q_lo": 0.98, + "q_hi": 1.0, + "y_target": + [ + 0, 0.8, + 1000, 0.8 + ] + } + ] + }, + "y_target": + [ + 0, 0.16, + 1000, 0.165, + 10000, 0.17 + ] + } + }, + { + "rpi.alsc": + { + "omega": 1.3, + "n_iter": 100, + "luminance_strength": 0.7 + } + }, + { + "rpi.contrast": + { + "ce_enable": 1, + "gamma_curve": + [ + 0, 0, + 1024, 5040, + 2048, 9338, + 3072, 12356, + 4096, 15312, + 5120, 18051, + 6144, 20790, + 7168, 23193, + 8192, 25744, + 9216, 27942, + 10240, 30035, + 11264, 32005, + 12288, 33975, + 13312, 35815, + 14336, 37600, + 15360, 39168, + 16384, 40642, + 18432, 43379, + 20480, 45749, + 22528, 47753, + 24576, 49621, + 26624, 51253, + 28672, 52698, + 30720, 53796, + 32768, 54876, + 36864, 57012, + 40960, 58656, + 45056, 59954, + 49152, 61183, + 53248, 62355, + 57344, 63419, + 61440, 64476, + 65535, 65535 + ] + } + }, + { + "rpi.ccm": + { + "ccms": [ + { + "ct": 2213, + "ccm": + [ + 1.91264, -0.27609, -0.63655, + -0.65708, 2.11718, -0.46009, + 0.03629, -1.38441, 2.34811 + ] + }, + { + "ct": 2255, + "ccm": + [ + 1.90369, -0.29309, -0.61059, + -0.64693, 2.08169, -0.43476, + 0.04086, -1.29999, 2.25914 + ] + }, + { + "ct": 2259, + "ccm": + [ + 1.92762, -0.35134, -0.57628, + -0.63523, 2.08481, -0.44958, + 0.06754, -1.32953, 2.26199 + ] + }, + { + "ct": 5313, + "ccm": + [ + 1.75924, -0.54053, -0.21871, + -0.38159, 1.88671, -0.50511, + -0.00747, -0.53492, 1.54239 + ] + }, + { + "ct": 6237, + "ccm": + [ + 2.19299, -0.74764, -0.44536, + -0.51678, 2.27651, -0.75972, + -0.06498, -0.74269, 1.80767 + ] + } + ] + } + }, + { + "rpi.sharpen": { } + } + ] +} diff --git a/src/ipa/rpi/vc4/data/imx327.json b/src/ipa/rpi/vc4/data/imx327.json new file mode 100644 index 00000000..40a56842 --- /dev/null +++ b/src/ipa/rpi/vc4/data/imx327.json @@ -0,0 +1,215 @@ +{ + "version": 2.0, + "target": "bcm2835", + "description": "This is an interim tuning only. Please consider doing a more formal tuning for your application.", + "algorithms": [ + { + "rpi.black_level": + { + "black_level": 3840 + } + }, + { + "rpi.dpc": { } + }, + { + "rpi.lux": + { + "reference_shutter_speed": 6813, + "reference_gain": 1.0, + "reference_aperture": 1.0, + "reference_lux": 890, + "reference_Y": 12900 + } + }, + { + "rpi.noise": + { + "reference_constant": 0, + "reference_slope": 2.67 + } + }, + { + "rpi.geq": + { + "offset": 187, + "slope": 0.00842 + } + }, + { + "rpi.sdn": { } + }, + { + "rpi.awb": + { + "bayes": 0 + } + }, + { + "rpi.agc": + { + "speed": 0.2, + "metering_modes": + { + "matrix": + { + "weights": + [ + 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 + ] + }, + "centre-weighted": + { + "weights": + [ + 3, 3, 3, 2, 2, 2, 2, 1, 1, 1, 1, 0, 0, 0, 0 + ] + }, + "spot": + { + "weights": + [ + 2, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 + ] + } + }, + "exposure_modes": + { + "normal": + { + "shutter": [ 10, 30000, 60000 ], + "gain": [ 1.0, 2.0, 8.0 ] + }, + "short": + { + "shutter": [ 10, 5000, 10000, 20000, 120000 ], + "gain": [ 1.0, 2.0, 4.0, 6.0, 8.0 ] + }, + "long": + { + "shutter": [ 1000, 30000, 60000, 90000, 120000 ], + "gain": [ 1.0, 2.0, 4.0, 6.0, 12.0 ] + } + }, + "constraint_modes": + { + "normal": [ ], + "highlight": [ + { + "bound": "LOWER", + "q_lo": 0.98, + "q_hi": 1.0, + "y_target": + [ + 0, 0.5, + 1000, 0.5 + ] + }, + { + "bound": "UPPER", + "q_lo": 0.98, + "q_hi": 1.0, + "y_target": + [ + 0, 0.8, + 1000, 0.8 + ] + } + ] + }, + "y_target": + [ + 0, 0.16, + 1000, 0.16, + 10000, 0.16 + ] + } + }, + { + "rpi.alsc": + { + "omega": 1.3, + "n_iter": 100, + "luminance_strength": 0.7, + "luminance_lut": + [ + 2.844, 2.349, 2.018, 1.775, 1.599, 1.466, 1.371, 1.321, 1.306, 1.316, 1.357, 1.439, 1.552, 1.705, 1.915, 2.221, + 2.576, 2.151, 1.851, 1.639, 1.478, 1.358, 1.272, 1.231, 1.218, 1.226, 1.262, 1.335, 1.438, 1.571, 1.766, 2.067, + 2.381, 2.005, 1.739, 1.545, 1.389, 1.278, 1.204, 1.166, 1.153, 1.161, 1.194, 1.263, 1.356, 1.489, 1.671, 1.943, + 2.242, 1.899, 1.658, 1.481, 1.329, 1.225, 1.156, 1.113, 1.096, 1.107, 1.143, 1.201, 1.289, 1.423, 1.607, 1.861, + 2.152, 1.831, 1.602, 1.436, 1.291, 1.193, 1.121, 1.069, 1.047, 1.062, 1.107, 1.166, 1.249, 1.384, 1.562, 1.801, + 2.104, 1.795, 1.572, 1.407, 1.269, 1.174, 1.099, 1.041, 1.008, 1.029, 1.083, 1.146, 1.232, 1.364, 1.547, 1.766, + 2.104, 1.796, 1.572, 1.403, 1.264, 1.171, 1.097, 1.036, 1.001, 1.025, 1.077, 1.142, 1.231, 1.363, 1.549, 1.766, + 2.148, 1.827, 1.594, 1.413, 1.276, 1.184, 1.114, 1.062, 1.033, 1.049, 1.092, 1.153, 1.242, 1.383, 1.577, 1.795, + 2.211, 1.881, 1.636, 1.455, 1.309, 1.214, 1.149, 1.104, 1.081, 1.089, 1.125, 1.184, 1.273, 1.423, 1.622, 1.846, + 2.319, 1.958, 1.698, 1.516, 1.362, 1.262, 1.203, 1.156, 1.137, 1.142, 1.171, 1.229, 1.331, 1.484, 1.682, 1.933, + 2.459, 2.072, 1.789, 1.594, 1.441, 1.331, 1.261, 1.219, 1.199, 1.205, 1.232, 1.301, 1.414, 1.571, 1.773, 2.052, + 2.645, 2.206, 1.928, 1.728, 1.559, 1.451, 1.352, 1.301, 1.282, 1.289, 1.319, 1.395, 1.519, 1.685, 1.904, 2.227 + ], + "sigma": 0.005, + "sigma_Cb": 0.005 + } + }, + { + "rpi.contrast": + { + "ce_enable": 1, + "gamma_curve": + [ + 0, 0, + 1024, 5040, + 2048, 9338, + 3072, 12356, + 4096, 15312, + 5120, 18051, + 6144, 20790, + 7168, 23193, + 8192, 25744, + 9216, 27942, + 10240, 30035, + 11264, 32005, + 12288, 33975, + 13312, 35815, + 14336, 37600, + 15360, 39168, + 16384, 40642, + 18432, 43379, + 20480, 45749, + 22528, 47753, + 24576, 49621, + 26624, 51253, + 28672, 52698, + 30720, 53796, + 32768, 54876, + 36864, 57012, + 40960, 58656, + 45056, 59954, + 49152, 61183, + 53248, 62355, + 57344, 63419, + 61440, 64476, + 65535, 65535 + ] + } + }, + { + "rpi.sharpen": { } + }, + { + "rpi.ccm": + { + "ccms": [ + { + "ct": 3900, + "ccm": + [ + 1.54659, -0.17707, -0.36953, + -0.51471, 1.72733, -0.21262, + 0.06667, -0.92279, 1.85612 + ] + } + ] + } + } + ] +}
\ No newline at end of file diff --git a/src/ipa/rpi/vc4/data/imx415.json b/src/ipa/rpi/vc4/data/imx415.json new file mode 100755 index 00000000..6ed16b17 --- /dev/null +++ b/src/ipa/rpi/vc4/data/imx415.json @@ -0,0 +1,413 @@ +{ + "version": 2.0, + "target": "bcm2835", + "algorithms": [ + { + "rpi.black_level": + { + "black_level": 3840 + } + }, + { + "rpi.dpc": { } + }, + { + "rpi.lux": + { + "reference_shutter_speed": 19230, + "reference_gain": 1.0, + "reference_aperture": 1.0, + "reference_lux": 1198, + "reference_Y": 14876 + } + }, + { + "rpi.noise": + { + "reference_constant": 17, + "reference_slope": 3.439 + } + }, + { + "rpi.geq": + { + "offset": 193, + "slope": 0.00902 + } + }, + { + "rpi.sdn": { } + }, + { + "rpi.awb": + { + "priors": [ + { + "lux": 0, + "prior": + [ + 2000, 1.0, + 3000, 0.0, + 13000, 0.0 + ] + }, + { + "lux": 800, + "prior": + [ + 2000, 0.0, + 6000, 2.0, + 13000, 2.0 + ] + }, + { + "lux": 1500, + "prior": + [ + 2000, 0.0, + 4000, 1.0, + 6000, 6.0, + 6500, 7.0, + 7000, 1.0, + 13000, 1.0 + ] + } + ], + "modes": + { + "auto": + { + "lo": 2500, + "hi": 8000 + }, + "incandescent": + { + "lo": 2500, + "hi": 3000 + }, + "tungsten": + { + "lo": 3000, + "hi": 3500 + }, + "fluorescent": + { + "lo": 4000, + "hi": 4700 + }, + "indoor": + { + "lo": 3000, + "hi": 5000 + }, + "daylight": + { + "lo": 5500, + "hi": 6500 + }, + "cloudy": + { + "lo": 7000, + "hi": 8600 + } + }, + "bayes": 1, + "ct_curve": + [ + 2698.0, 0.7681, 0.2026, + 2930.0, 0.7515, 0.2116, + 3643.0, 0.6355, 0.2858, + 4605.0, 0.4992, 0.4041, + 5658.0, 0.4498, 0.4574 + ], + "sensitivity_r": 1.0, + "sensitivity_b": 1.0, + "transverse_pos": 0.0112, + "transverse_neg": 0.01424 + } + }, + { + "rpi.agc": + { + "metering_modes": + { + "centre-weighted": + { + "weights": + [ + 3, 3, 3, 2, 2, 2, 2, 1, 1, 1, 1, 0, 0, 0, 0 + ] + }, + "spot": + { + "weights": + [ + 2, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 + ] + }, + "matrix": + { + "weights": + [ + 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 + ] + } + }, + "exposure_modes": + { + "normal": + { + "shutter": [ 100, 10000, 30000, 60000, 120000 ], + "gain": [ 1.0, 2.0, 4.0, 6.0, 6.0 ] + }, + "short": + { + "shutter": [ 100, 5000, 10000, 20000, 120000 ], + "gain": [ 1.0, 2.0, 4.0, 6.0, 6.0 ] + } + }, + "constraint_modes": + { + "normal": [ + { + "bound": "LOWER", + "q_lo": 0.98, + "q_hi": 1.0, + "y_target": + [ + 0, 0.5, + 1000, 0.5 + ] + } + ], + "highlight": [ + { + "bound": "LOWER", + "q_lo": 0.98, + "q_hi": 1.0, + "y_target": + [ + 0, 0.5, + 1000, 0.5 + ] + }, + { + "bound": "UPPER", + "q_lo": 0.98, + "q_hi": 1.0, + "y_target": + [ + 0, 0.8, + 1000, 0.8 + ] + } + ] + }, + "y_target": + [ + 0, 0.16, + 1000, 0.165, + 10000, 0.17 + ] + } + }, + { + "rpi.alsc": + { + "omega": 1.3, + "n_iter": 100, + "luminance_strength": 0.8, + "calibrations_Cr": [ + { + "ct": 3000, + "table": + [ + 1.025, 1.016, 1.013, 1.011, 1.008, 1.005, 1.003, 1.001, 1.003, 1.005, 1.008, 1.011, 1.014, 1.019, 1.027, 1.035, + 1.025, 1.017, 1.013, 1.011, 1.008, 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1.49865, -0.41638, -0.08227, + -0.39445, 1.70114, -0.30669, + 0.01319, -0.88009, 1.86689 + ] + }, + { + "ct": 5658, + "ccm": + [ + 1.38601, -0.23128, -0.15472, + -0.37641, 1.70444, -0.32803, + -0.01575, -0.71466, 1.73041 + ] + } + ] + } + }, + { + "rpi.sharpen": { } + } + ] +} diff --git a/src/ipa/rpi/vc4/data/imx462.json b/src/ipa/rpi/vc4/data/imx462.json new file mode 100644 index 00000000..40a56842 --- /dev/null +++ b/src/ipa/rpi/vc4/data/imx462.json @@ -0,0 +1,215 @@ +{ + "version": 2.0, + "target": "bcm2835", + "description": "This is an interim tuning only. Please consider doing a more formal tuning for your application.", + "algorithms": [ + { + "rpi.black_level": + { + "black_level": 3840 + } + }, + { + "rpi.dpc": { } + }, + { + "rpi.lux": + { + "reference_shutter_speed": 6813, + "reference_gain": 1.0, + "reference_aperture": 1.0, + "reference_lux": 890, + "reference_Y": 12900 + } + }, + { + "rpi.noise": + { + "reference_constant": 0, + "reference_slope": 2.67 + } + }, + { + "rpi.geq": + { + "offset": 187, + "slope": 0.00842 + } + }, + { + "rpi.sdn": { } + }, + { + "rpi.awb": + { + "bayes": 0 + } + }, + { + "rpi.agc": + { + "speed": 0.2, + "metering_modes": + { + "matrix": + { + "weights": + [ + 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 + ] + }, + "centre-weighted": + { + "weights": + [ + 3, 3, 3, 2, 2, 2, 2, 1, 1, 1, 1, 0, 0, 0, 0 + ] + }, + "spot": + { + "weights": + [ + 2, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 + ] + } + }, + "exposure_modes": + { + "normal": + { + "shutter": [ 10, 30000, 60000 ], + "gain": [ 1.0, 2.0, 8.0 ] + }, + "short": + { + "shutter": [ 10, 5000, 10000, 20000, 120000 ], + "gain": [ 1.0, 2.0, 4.0, 6.0, 8.0 ] + }, + "long": + { + "shutter": [ 1000, 30000, 60000, 90000, 120000 ], + "gain": [ 1.0, 2.0, 4.0, 6.0, 12.0 ] + } + }, + "constraint_modes": + { + "normal": [ ], + "highlight": [ + { + "bound": "LOWER", + "q_lo": 0.98, + "q_hi": 1.0, + "y_target": + [ + 0, 0.5, + 1000, 0.5 + ] + }, + { + "bound": "UPPER", + "q_lo": 0.98, + "q_hi": 1.0, + "y_target": + [ + 0, 0.8, + 1000, 0.8 + ] + } + ] + }, + "y_target": + [ + 0, 0.16, + 1000, 0.16, + 10000, 0.16 + ] + } + }, + { + "rpi.alsc": + { + "omega": 1.3, + "n_iter": 100, + "luminance_strength": 0.7, + "luminance_lut": + [ + 2.844, 2.349, 2.018, 1.775, 1.599, 1.466, 1.371, 1.321, 1.306, 1.316, 1.357, 1.439, 1.552, 1.705, 1.915, 2.221, + 2.576, 2.151, 1.851, 1.639, 1.478, 1.358, 1.272, 1.231, 1.218, 1.226, 1.262, 1.335, 1.438, 1.571, 1.766, 2.067, + 2.381, 2.005, 1.739, 1.545, 1.389, 1.278, 1.204, 1.166, 1.153, 1.161, 1.194, 1.263, 1.356, 1.489, 1.671, 1.943, + 2.242, 1.899, 1.658, 1.481, 1.329, 1.225, 1.156, 1.113, 1.096, 1.107, 1.143, 1.201, 1.289, 1.423, 1.607, 1.861, + 2.152, 1.831, 1.602, 1.436, 1.291, 1.193, 1.121, 1.069, 1.047, 1.062, 1.107, 1.166, 1.249, 1.384, 1.562, 1.801, + 2.104, 1.795, 1.572, 1.407, 1.269, 1.174, 1.099, 1.041, 1.008, 1.029, 1.083, 1.146, 1.232, 1.364, 1.547, 1.766, + 2.104, 1.796, 1.572, 1.403, 1.264, 1.171, 1.097, 1.036, 1.001, 1.025, 1.077, 1.142, 1.231, 1.363, 1.549, 1.766, + 2.148, 1.827, 1.594, 1.413, 1.276, 1.184, 1.114, 1.062, 1.033, 1.049, 1.092, 1.153, 1.242, 1.383, 1.577, 1.795, + 2.211, 1.881, 1.636, 1.455, 1.309, 1.214, 1.149, 1.104, 1.081, 1.089, 1.125, 1.184, 1.273, 1.423, 1.622, 1.846, + 2.319, 1.958, 1.698, 1.516, 1.362, 1.262, 1.203, 1.156, 1.137, 1.142, 1.171, 1.229, 1.331, 1.484, 1.682, 1.933, + 2.459, 2.072, 1.789, 1.594, 1.441, 1.331, 1.261, 1.219, 1.199, 1.205, 1.232, 1.301, 1.414, 1.571, 1.773, 2.052, + 2.645, 2.206, 1.928, 1.728, 1.559, 1.451, 1.352, 1.301, 1.282, 1.289, 1.319, 1.395, 1.519, 1.685, 1.904, 2.227 + ], + "sigma": 0.005, + "sigma_Cb": 0.005 + } + }, + { + "rpi.contrast": + { + "ce_enable": 1, + "gamma_curve": + [ + 0, 0, + 1024, 5040, + 2048, 9338, + 3072, 12356, + 4096, 15312, + 5120, 18051, + 6144, 20790, + 7168, 23193, + 8192, 25744, + 9216, 27942, + 10240, 30035, + 11264, 32005, + 12288, 33975, + 13312, 35815, + 14336, 37600, + 15360, 39168, + 16384, 40642, + 18432, 43379, + 20480, 45749, + 22528, 47753, + 24576, 49621, + 26624, 51253, + 28672, 52698, + 30720, 53796, + 32768, 54876, + 36864, 57012, + 40960, 58656, + 45056, 59954, + 49152, 61183, + 53248, 62355, + 57344, 63419, + 61440, 64476, + 65535, 65535 + ] + } + }, + { + "rpi.sharpen": { } + }, + { + "rpi.ccm": + { + "ccms": [ + { + "ct": 3900, + "ccm": + [ + 1.54659, -0.17707, -0.36953, + -0.51471, 1.72733, -0.21262, + 0.06667, -0.92279, 1.85612 + ] + } + ] + } + } + ] +}
\ No newline at end of file diff --git a/src/ipa/rpi/vc4/data/meson.build b/src/ipa/rpi/vc4/data/meson.build index afbf875a..7a8001ee 100644 --- a/src/ipa/rpi/vc4/data/meson.build +++ b/src/ipa/rpi/vc4/data/meson.build @@ -3,10 +3,14 @@ conf_files = files([ 'imx219.json', 'imx219_noir.json', + 'imx283.json', 'imx290.json', 'imx296.json', 'imx296_mono.json', + 'imx327.json', 'imx378.json', + 'imx415.json', + 'imx462.json', 'imx477.json', 'imx477_noir.json', 'imx477_scientific.json', @@ -18,6 +22,7 @@ conf_files = files([ 'ov5647.json', 'ov5647_noir.json', 'ov64a40.json', + 'ov7251_mono.json', 'ov9281_mono.json', 'se327m12.json', 'uncalibrated.json', diff --git a/src/ipa/rpi/vc4/data/ov7251_mono.json b/src/ipa/rpi/vc4/data/ov7251_mono.json new file mode 100644 index 00000000..a9d05a01 --- /dev/null +++ b/src/ipa/rpi/vc4/data/ov7251_mono.json @@ -0,0 +1,136 @@ +{ + "version": 2.0, + "target": "bcm2835", + "algorithms": [ + { + "rpi.black_level": + { + "black_level": 4096 + } + }, + { + "rpi.lux": + { + "reference_shutter_speed": 2000, + "reference_gain": 1.0, + "reference_aperture": 1.0, + "reference_lux": 800, + "reference_Y": 20000 + } + }, + { + "rpi.noise": + { + "reference_constant": 0, + "reference_slope": 2.5 + } + }, + { + "rpi.sdn": { } + }, + { + "rpi.agc": + { + "metering_modes": + { + "centre-weighted": + { + "weights": + [ + 4, 4, 4, 2, 2, 2, 2, 1, 1, 1, 1, 0, 0, 0, 0 + ] + } + }, + "exposure_modes": + { + "normal": + { + "shutter": [ 100, 15000, 30000, 60000, 120000 ], + "gain": [ 1.0, 2.0, 3.0, 4.0, 8.0 ] + }, + "short": + { + "shutter": [ 100, 5000, 10000, 20000, 30000 ], + "gain": [ 1.0, 2.0, 4.0, 6.0, 8.0 ] + }, + "long": + { + "shutter": [ 1000, 30000, 60000, 90000, 120000 ], + "gain": [ 1.0, 2.0, 4.0, 6.0, 12.0 ] + } + }, + "constraint_modes": + { + "normal": [ + { + "bound": "LOWER", + "q_lo": 0.98, + "q_hi": 1.0, + "y_target": + [ + 0, 0.4, + 1000, 0.4 + ] + } + ] + }, + "y_target": + [ + 0, 0.16, + 1000, 0.165, + 10000, 0.17 + ] + } + }, + { + "rpi.alsc": + { + "n_iter": 0, + "luminance_strength": 1.0, + "corner_strength": 1.5 + } + }, + { + "rpi.contrast": + { + "ce_enable": 0, + "gamma_curve": + [ + 0, 0, + 1024, 5040, + 2048, 9338, + 3072, 12356, + 4096, 15312, + 5120, 18051, + 6144, 20790, + 7168, 23193, + 8192, 25744, + 9216, 27942, + 10240, 30035, + 11264, 32005, + 12288, 33975, + 13312, 35815, + 14336, 37600, + 15360, 39168, + 16384, 40642, + 18432, 43379, + 20480, 45749, + 22528, 47753, + 24576, 49621, + 26624, 51253, + 28672, 52698, + 30720, 53796, + 32768, 54876, + 36864, 57012, + 40960, 58656, + 45056, 59954, + 49152, 61183, + 53248, 62355, + 57344, 63419, + 61440, 64476, + 65535, 65535 + ] + } + } + ] +}
\ No newline at end of file diff --git a/src/ipa/simple/algorithms/agc.cpp b/src/ipa/simple/algorithms/agc.cpp new file mode 100644 index 00000000..c46bb0eb --- /dev/null +++ b/src/ipa/simple/algorithms/agc.cpp @@ -0,0 +1,146 @@ +/* SPDX-License-Identifier: LGPL-2.1-or-later */ +/* + * Copyright (C) 2024, Red Hat Inc. + * + * Exposure and gain + */ + +#include "agc.h" + +#include <stdint.h> + +#include <libcamera/base/log.h> + +#include "control_ids.h" + +namespace libcamera { + +LOG_DEFINE_CATEGORY(IPASoftExposure) + +namespace ipa::soft::algorithms { + +/* + * The number of bins to use for the optimal exposure calculations. + */ +static constexpr unsigned int kExposureBinsCount = 5; + +/* + * The exposure is optimal when the mean sample value of the histogram is + * in the middle of the range. + */ +static constexpr float kExposureOptimal = kExposureBinsCount / 2.0; + +/* + * This implements the hysteresis for the exposure adjustment. + * It is small enough to have the exposure close to the optimal, and is big + * enough to prevent the exposure from wobbling around the optimal value. + */ +static constexpr float kExposureSatisfactory = 0.2; + +Agc::Agc() +{ +} + +void Agc::updateExposure(IPAContext &context, IPAFrameContext &frameContext, double exposureMSV) +{ + /* + * kExpDenominator of 10 gives ~10% increment/decrement; + * kExpDenominator of 5 - about ~20% + */ + static constexpr uint8_t kExpDenominator = 10; + static constexpr uint8_t kExpNumeratorUp = kExpDenominator + 1; + static constexpr uint8_t kExpNumeratorDown = kExpDenominator - 1; + + double next; + int32_t &exposure = frameContext.sensor.exposure; + double &again = frameContext.sensor.gain; + + if (exposureMSV < kExposureOptimal - kExposureSatisfactory) { + next = exposure * kExpNumeratorUp / kExpDenominator; + if (next - exposure < 1) + exposure += 1; + else + exposure = next; + if (exposure >= context.configuration.agc.exposureMax) { + next = again * kExpNumeratorUp / kExpDenominator; + if (next - again < context.configuration.agc.againMinStep) + again += context.configuration.agc.againMinStep; + else + again = next; + } + } + + if (exposureMSV > kExposureOptimal + kExposureSatisfactory) { + if (exposure == context.configuration.agc.exposureMax && + again > context.configuration.agc.againMin) { + next = again * kExpNumeratorDown / kExpDenominator; + if (again - next < context.configuration.agc.againMinStep) + again -= context.configuration.agc.againMinStep; + else + again = next; + } else { + next = exposure * kExpNumeratorDown / kExpDenominator; + if (exposure - next < 1) + exposure -= 1; + else + exposure = next; + } + } + + exposure = std::clamp(exposure, context.configuration.agc.exposureMin, + context.configuration.agc.exposureMax); + again = std::clamp(again, context.configuration.agc.againMin, + context.configuration.agc.againMax); + + LOG(IPASoftExposure, Debug) + << "exposureMSV " << exposureMSV + << " exp " << exposure << " again " << again; +} + +void Agc::process(IPAContext &context, + [[maybe_unused]] const uint32_t frame, + IPAFrameContext &frameContext, + const SwIspStats *stats, + ControlList &metadata) +{ + utils::Duration exposureTime = + context.configuration.agc.lineDuration * frameContext.sensor.exposure; + metadata.set(controls::ExposureTime, exposureTime.get<std::micro>()); + metadata.set(controls::AnalogueGain, frameContext.sensor.gain); + + /* + * Calculate Mean Sample Value (MSV) according to formula from: + * https://www.araa.asn.au/acra/acra2007/papers/paper84final.pdf + */ + const auto &histogram = stats->yHistogram; + const unsigned int blackLevelHistIdx = + context.activeState.blc.level / (256 / SwIspStats::kYHistogramSize); + const unsigned int histogramSize = + SwIspStats::kYHistogramSize - blackLevelHistIdx; + const unsigned int yHistValsPerBin = histogramSize / kExposureBinsCount; + const unsigned int yHistValsPerBinMod = + histogramSize / (histogramSize % kExposureBinsCount + 1); + int exposureBins[kExposureBinsCount] = {}; + unsigned int denom = 0; + unsigned int num = 0; + + for (unsigned int i = 0; i < histogramSize; i++) { + unsigned int idx = (i - (i / yHistValsPerBinMod)) / yHistValsPerBin; + exposureBins[idx] += histogram[blackLevelHistIdx + i]; + } + + for (unsigned int i = 0; i < kExposureBinsCount; i++) { + LOG(IPASoftExposure, Debug) << i << ": " << exposureBins[i]; + denom += exposureBins[i]; + num += exposureBins[i] * (i + 1); + } + + float exposureMSV = (denom == 0 ? 0 : static_cast<float>(num) / denom); + updateExposure(context, frameContext, exposureMSV); +} + +REGISTER_IPA_ALGORITHM(Agc, "Agc") + +} /* namespace ipa::soft::algorithms */ + +} /* namespace libcamera */ diff --git a/src/ipa/simple/algorithms/agc.h b/src/ipa/simple/algorithms/agc.h new file mode 100644 index 00000000..112d9f5a --- /dev/null +++ b/src/ipa/simple/algorithms/agc.h @@ -0,0 +1,33 @@ +/* SPDX-License-Identifier: LGPL-2.1-or-later */ +/* + * Copyright (C) 2024, Red Hat Inc. + * + * Exposure and gain + */ + +#pragma once + +#include "algorithm.h" + +namespace libcamera { + +namespace ipa::soft::algorithms { + +class Agc : public Algorithm +{ +public: + Agc(); + ~Agc() = default; + + void process(IPAContext &context, const uint32_t frame, + IPAFrameContext &frameContext, + const SwIspStats *stats, + ControlList &metadata) override; + +private: + void updateExposure(IPAContext &context, IPAFrameContext &frameContext, double exposureMSV); +}; + +} /* namespace ipa::soft::algorithms */ + +} /* namespace libcamera */ diff --git a/src/ipa/simple/algorithms/algorithm.h b/src/ipa/simple/algorithms/algorithm.h new file mode 100644 index 00000000..41f63170 --- /dev/null +++ b/src/ipa/simple/algorithms/algorithm.h @@ -0,0 +1,22 @@ +/* SPDX-License-Identifier: LGPL-2.1-or-later */ +/* + * Copyright (C) 2024 Red Hat, Inc. + * + * Software ISP control algorithm interface + */ + +#pragma once + +#include <libipa/algorithm.h> + +#include "module.h" + +namespace libcamera { + +namespace ipa::soft { + +using Algorithm = libcamera::ipa::Algorithm<Module>; + +} /* namespace ipa::soft */ + +} /* namespace libcamera */ diff --git a/src/ipa/simple/algorithms/awb.cpp b/src/ipa/simple/algorithms/awb.cpp new file mode 100644 index 00000000..cf567e89 --- /dev/null +++ b/src/ipa/simple/algorithms/awb.cpp @@ -0,0 +1,100 @@ +/* SPDX-License-Identifier: LGPL-2.1-or-later */ +/* + * Copyright (C) 2024, Red Hat Inc. + * + * Auto white balance + */ + +#include "awb.h" + +#include <numeric> +#include <stdint.h> + +#include <libcamera/base/log.h> + +#include <libcamera/control_ids.h> + +#include "libipa/colours.h" +#include "simple/ipa_context.h" + +#include "control_ids.h" + +namespace libcamera { + +LOG_DEFINE_CATEGORY(IPASoftAwb) + +namespace ipa::soft::algorithms { + +int Awb::configure(IPAContext &context, + [[maybe_unused]] const IPAConfigInfo &configInfo) +{ + auto &gains = context.activeState.awb.gains; + gains = { { 1.0, 1.0, 1.0 } }; + + return 0; +} + +void Awb::prepare(IPAContext &context, + [[maybe_unused]] const uint32_t frame, + IPAFrameContext &frameContext, + [[maybe_unused]] DebayerParams *params) +{ + auto &gains = context.activeState.awb.gains; + /* Just report, the gains are applied in LUT algorithm. */ + frameContext.gains.red = gains.r(); + frameContext.gains.blue = gains.b(); +} + +void Awb::process(IPAContext &context, + [[maybe_unused]] const uint32_t frame, + IPAFrameContext &frameContext, + const SwIspStats *stats, + ControlList &metadata) +{ + const SwIspStats::Histogram &histogram = stats->yHistogram; + const uint8_t blackLevel = context.activeState.blc.level; + + const float maxGain = 1024.0; + const float mdGains[] = { + static_cast<float>(frameContext.gains.red / maxGain), + static_cast<float>(frameContext.gains.blue / maxGain) + }; + metadata.set(controls::ColourGains, mdGains); + + /* + * Black level must be subtracted to get the correct AWB ratios, they + * would be off if they were computed from the whole brightness range + * rather than from the sensor range. + */ + const uint64_t nPixels = std::accumulate( + histogram.begin(), histogram.end(), 0); + const uint64_t offset = blackLevel * nPixels; + const uint64_t sumR = stats->sumR_ - offset / 4; + const uint64_t sumG = stats->sumG_ - offset / 2; + const uint64_t sumB = stats->sumB_ - offset / 4; + + /* + * Calculate red and blue gains for AWB. + * Clamp max gain at 4.0, this also avoids 0 division. + */ + auto &gains = context.activeState.awb.gains; + gains = { { + sumR <= sumG / 4 ? 4.0f : static_cast<float>(sumG) / sumR, + 1.0, + sumB <= sumG / 4 ? 4.0f : static_cast<float>(sumG) / sumB, + } }; + + RGB<double> rgbGains{ { 1 / gains.r(), 1 / gains.g(), 1 / gains.b() } }; + context.activeState.awb.temperatureK = estimateCCT(rgbGains); + metadata.set(controls::ColourTemperature, context.activeState.awb.temperatureK); + + LOG(IPASoftAwb, Debug) + << "gain R/B: " << gains << "; temperature: " + << context.activeState.awb.temperatureK; +} + +REGISTER_IPA_ALGORITHM(Awb, "Awb") + +} /* namespace ipa::soft::algorithms */ + +} /* namespace libcamera */ diff --git a/src/ipa/simple/algorithms/awb.h b/src/ipa/simple/algorithms/awb.h new file mode 100644 index 00000000..ad993f39 --- /dev/null +++ b/src/ipa/simple/algorithms/awb.h @@ -0,0 +1,36 @@ +/* SPDX-License-Identifier: LGPL-2.1-or-later */ +/* + * Copyright (C) 2024-2025 Red Hat Inc. + * + * Auto white balance + */ + +#pragma once + +#include "algorithm.h" + +namespace libcamera { + +namespace ipa::soft::algorithms { + +class Awb : public Algorithm +{ +public: + Awb() = default; + ~Awb() = default; + + int configure(IPAContext &context, const IPAConfigInfo &configInfo) override; + void prepare(IPAContext &context, + const uint32_t frame, + IPAFrameContext &frameContext, + DebayerParams *params) override; + void process(IPAContext &context, + const uint32_t frame, + IPAFrameContext &frameContext, + const SwIspStats *stats, + ControlList &metadata) override; +}; + +} /* namespace ipa::soft::algorithms */ + +} /* namespace libcamera */ diff --git a/src/ipa/simple/algorithms/blc.cpp b/src/ipa/simple/algorithms/blc.cpp new file mode 100644 index 00000000..8c1e9ed0 --- /dev/null +++ b/src/ipa/simple/algorithms/blc.cpp @@ -0,0 +1,107 @@ +/* SPDX-License-Identifier: LGPL-2.1-or-later */ +/* + * Copyright (C) 2024-2025, Red Hat Inc. + * + * Black level handling + */ + +#include "blc.h" + +#include <numeric> + +#include <libcamera/base/log.h> + +#include "control_ids.h" + +namespace libcamera { + +namespace ipa::soft::algorithms { + +LOG_DEFINE_CATEGORY(IPASoftBL) + +BlackLevel::BlackLevel() +{ +} + +int BlackLevel::init([[maybe_unused]] IPAContext &context, + const YamlObject &tuningData) +{ + auto blackLevel = tuningData["blackLevel"].get<int16_t>(); + if (blackLevel.has_value()) { + /* + * Convert 16 bit values from the tuning file to 8 bit black + * level for the SoftISP. + */ + definedLevel_ = blackLevel.value() >> 8; + } + return 0; +} + +int BlackLevel::configure(IPAContext &context, + [[maybe_unused]] const IPAConfigInfo &configInfo) +{ + if (definedLevel_.has_value()) + context.configuration.black.level = definedLevel_; + context.activeState.blc.level = + context.configuration.black.level.value_or(255); + return 0; +} + +void BlackLevel::process(IPAContext &context, + [[maybe_unused]] const uint32_t frame, + IPAFrameContext &frameContext, + const SwIspStats *stats, + ControlList &metadata) +{ + /* Assign each of the R G G B channels as the same black level. */ + const int32_t blackLevel = context.activeState.blc.level * 256; + const int32_t blackLevels[] = { + blackLevel, blackLevel, blackLevel, blackLevel + }; + metadata.set(controls::SensorBlackLevels, blackLevels); + + if (context.configuration.black.level.has_value()) + return; + + if (frameContext.sensor.exposure == context.activeState.blc.lastExposure && + frameContext.sensor.gain == context.activeState.blc.lastGain) { + return; + } + + const SwIspStats::Histogram &histogram = stats->yHistogram; + + /* + * The constant is selected to be "good enough", not overly + * conservative or aggressive. There is no magic about the given value. + */ + constexpr float ignoredPercentage = 0.02; + const unsigned int total = + std::accumulate(begin(histogram), end(histogram), 0); + const unsigned int pixelThreshold = ignoredPercentage * total; + const unsigned int histogramRatio = 256 / SwIspStats::kYHistogramSize; + const unsigned int currentBlackIdx = + context.activeState.blc.level / histogramRatio; + + for (unsigned int i = 0, seen = 0; + i < currentBlackIdx && i < SwIspStats::kYHistogramSize; + i++) { + seen += histogram[i]; + if (seen >= pixelThreshold) { + context.activeState.blc.level = i * histogramRatio; + context.activeState.blc.lastExposure = frameContext.sensor.exposure; + context.activeState.blc.lastGain = frameContext.sensor.gain; + LOG(IPASoftBL, Debug) + << "Auto-set black level: " + << i << "/" << SwIspStats::kYHistogramSize + << " (" << 100 * (seen - histogram[i]) / total << "% below, " + << 100 * seen / total << "% at or below)"; + break; + } + }; +} + +REGISTER_IPA_ALGORITHM(BlackLevel, "BlackLevel") + +} /* namespace ipa::soft::algorithms */ + +} /* namespace libcamera */ diff --git a/src/ipa/simple/algorithms/blc.h b/src/ipa/simple/algorithms/blc.h new file mode 100644 index 00000000..db9e6d63 --- /dev/null +++ b/src/ipa/simple/algorithms/blc.h @@ -0,0 +1,38 @@ +/* SPDX-License-Identifier: LGPL-2.1-or-later */ +/* + * Copyright (C) 2024, Red Hat Inc. + * + * Black level handling + */ + +#pragma once + +#include <optional> +#include <stdint.h> + +#include "algorithm.h" + +namespace libcamera { + +namespace ipa::soft::algorithms { + +class BlackLevel : public Algorithm +{ +public: + BlackLevel(); + ~BlackLevel() = default; + + int init(IPAContext &context, const YamlObject &tuningData) override; + int configure(IPAContext &context, const IPAConfigInfo &configInfo) override; + void process(IPAContext &context, const uint32_t frame, + IPAFrameContext &frameContext, + const SwIspStats *stats, + ControlList &metadata) override; + +private: + std::optional<uint8_t> definedLevel_; +}; + +} /* namespace ipa::soft::algorithms */ + +} /* namespace libcamera */ diff --git a/src/ipa/simple/algorithms/ccm.cpp b/src/ipa/simple/algorithms/ccm.cpp new file mode 100644 index 00000000..d5ba928d --- /dev/null +++ b/src/ipa/simple/algorithms/ccm.cpp @@ -0,0 +1,76 @@ +/* SPDX-License-Identifier: LGPL-2.1-or-later */ +/* + * Copyright (C) 2024, Ideas On Board + * Copyright (C) 2024-2025, Red Hat Inc. + * + * Color correction matrix + */ + +#include "ccm.h" + +#include <libcamera/base/log.h> +#include <libcamera/base/utils.h> + +#include <libcamera/control_ids.h> + +namespace { + +constexpr unsigned int kTemperatureThreshold = 100; + +} + +namespace libcamera { + +namespace ipa::soft::algorithms { + +LOG_DEFINE_CATEGORY(IPASoftCcm) + +int Ccm::init([[maybe_unused]] IPAContext &context, const YamlObject &tuningData) +{ + int ret = ccm_.readYaml(tuningData["ccms"], "ct", "ccm"); + if (ret < 0) { + LOG(IPASoftCcm, Error) + << "Failed to parse 'ccm' parameter from tuning file."; + return ret; + } + + context.ccmEnabled = true; + + return 0; +} + +void Ccm::prepare(IPAContext &context, const uint32_t frame, + IPAFrameContext &frameContext, [[maybe_unused]] DebayerParams *params) +{ + const unsigned int ct = context.activeState.awb.temperatureK; + + /* Change CCM only on bigger temperature changes. */ + if (frame > 0 && + utils::abs_diff(ct, lastCt_) < kTemperatureThreshold) { + frameContext.ccm.ccm = context.activeState.ccm.ccm; + context.activeState.ccm.changed = false; + return; + } + + lastCt_ = ct; + Matrix<float, 3, 3> ccm = ccm_.getInterpolated(ct); + + context.activeState.ccm.ccm = ccm; + frameContext.ccm.ccm = ccm; + context.activeState.ccm.changed = true; +} + +void Ccm::process([[maybe_unused]] IPAContext &context, + [[maybe_unused]] const uint32_t frame, + IPAFrameContext &frameContext, + [[maybe_unused]] const SwIspStats *stats, + ControlList &metadata) +{ + metadata.set(controls::ColourCorrectionMatrix, frameContext.ccm.ccm.data()); +} + +REGISTER_IPA_ALGORITHM(Ccm, "Ccm") + +} /* namespace ipa::soft::algorithms */ + +} /* namespace libcamera */ diff --git a/src/ipa/simple/algorithms/ccm.h b/src/ipa/simple/algorithms/ccm.h new file mode 100644 index 00000000..f4e2b85b --- /dev/null +++ b/src/ipa/simple/algorithms/ccm.h @@ -0,0 +1,43 @@ +/* SPDX-License-Identifier: LGPL-2.1-or-later */ +/* + * Copyright (C) 2024-2025, Red Hat Inc. + * + * Color correction matrix + */ + +#pragma once + +#include "libcamera/internal/matrix.h" + +#include <libipa/interpolator.h> + +#include "algorithm.h" + +namespace libcamera { + +namespace ipa::soft::algorithms { + +class Ccm : public Algorithm +{ +public: + Ccm() = default; + ~Ccm() = default; + + int init(IPAContext &context, const YamlObject &tuningData) override; + void prepare(IPAContext &context, + const uint32_t frame, + IPAFrameContext &frameContext, + DebayerParams *params) override; + void process(IPAContext &context, const uint32_t frame, + IPAFrameContext &frameContext, + const SwIspStats *stats, + ControlList &metadata) override; + +private: + unsigned int lastCt_; + Interpolator<Matrix<float, 3, 3>> ccm_; +}; + +} /* namespace ipa::soft::algorithms */ + +} /* namespace libcamera */ diff --git a/src/ipa/simple/algorithms/lut.cpp b/src/ipa/simple/algorithms/lut.cpp new file mode 100644 index 00000000..d1d5f727 --- /dev/null +++ b/src/ipa/simple/algorithms/lut.cpp @@ -0,0 +1,159 @@ +/* SPDX-License-Identifier: LGPL-2.1-or-later */ +/* + * Copyright (C) 2024-2025, Red Hat Inc. + * + * Color lookup tables construction + */ + +#include "lut.h" + +#include <algorithm> +#include <cmath> +#include <optional> +#include <stdint.h> + +#include <libcamera/base/log.h> + +#include <libcamera/control_ids.h> + +#include "simple/ipa_context.h" + +namespace libcamera { + +LOG_DEFINE_CATEGORY(IPASoftLut) + +namespace ipa::soft::algorithms { + +int Lut::init(IPAContext &context, + [[maybe_unused]] const YamlObject &tuningData) +{ + context.ctrlMap[&controls::Contrast] = ControlInfo(0.0f, 2.0f, 1.0f); + return 0; +} + +int Lut::configure(IPAContext &context, + [[maybe_unused]] const IPAConfigInfo &configInfo) +{ + /* Gamma value is fixed */ + context.configuration.gamma = 0.5; + context.activeState.knobs.contrast = std::optional<double>(); + updateGammaTable(context); + + return 0; +} + +void Lut::queueRequest(typename Module::Context &context, + [[maybe_unused]] const uint32_t frame, + [[maybe_unused]] typename Module::FrameContext &frameContext, + const ControlList &controls) +{ + const auto &contrast = controls.get(controls::Contrast); + if (contrast.has_value()) { + context.activeState.knobs.contrast = contrast; + LOG(IPASoftLut, Debug) << "Setting contrast to " << contrast.value(); + } +} + +void Lut::updateGammaTable(IPAContext &context) +{ + auto &gammaTable = context.activeState.gamma.gammaTable; + const auto blackLevel = context.activeState.blc.level; + const unsigned int blackIndex = blackLevel * gammaTable.size() / 256; + const auto contrast = context.activeState.knobs.contrast.value_or(1.0); + + std::fill(gammaTable.begin(), gammaTable.begin() + blackIndex, 0); + const float divisor = gammaTable.size() - blackIndex - 1.0; + for (unsigned int i = blackIndex; i < gammaTable.size(); i++) { + double normalized = (i - blackIndex) / divisor; + /* Convert 0..2 to 0..infinity; avoid actual inifinity at tan(pi/2) */ + double contrastExp = tan(std::clamp(contrast * M_PI_4, 0.0, M_PI_2 - 0.00001)); + /* Apply simple S-curve */ + if (normalized < 0.5) + normalized = 0.5 * std::pow(normalized / 0.5, contrastExp); + else + normalized = 1.0 - 0.5 * std::pow((1.0 - normalized) / 0.5, contrastExp); + gammaTable[i] = UINT8_MAX * + std::pow(normalized, context.configuration.gamma); + } + + context.activeState.gamma.blackLevel = blackLevel; + context.activeState.gamma.contrast = contrast; +} + +int16_t Lut::ccmValue(unsigned int i, float ccm) const +{ + return std::round(i * ccm); +} + +void Lut::prepare(IPAContext &context, + [[maybe_unused]] const uint32_t frame, + IPAFrameContext &frameContext, + DebayerParams *params) +{ + frameContext.contrast = context.activeState.knobs.contrast; + + /* + * Update the gamma table if needed. This means if black level changes + * and since the black level gets updated only if a lower value is + * observed, it's not permanently prone to minor fluctuations or + * rounding errors. + */ + const bool gammaUpdateNeeded = + context.activeState.gamma.blackLevel != context.activeState.blc.level || + context.activeState.gamma.contrast != context.activeState.knobs.contrast; + if (gammaUpdateNeeded) + updateGammaTable(context); + + auto &gains = context.activeState.awb.gains; + auto &gammaTable = context.activeState.gamma.gammaTable; + const unsigned int gammaTableSize = gammaTable.size(); + const double div = static_cast<double>(DebayerParams::kRGBLookupSize) / + gammaTableSize; + + if (!context.ccmEnabled) { + for (unsigned int i = 0; i < DebayerParams::kRGBLookupSize; i++) { + /* Apply gamma after gain! */ + const RGB<float> lutGains = (gains * i / div).min(gammaTableSize - 1); + params->red[i] = gammaTable[static_cast<unsigned int>(lutGains.r())]; + params->green[i] = gammaTable[static_cast<unsigned int>(lutGains.g())]; + params->blue[i] = gammaTable[static_cast<unsigned int>(lutGains.b())]; + } + } else if (context.activeState.ccm.changed || gammaUpdateNeeded) { + Matrix<float, 3, 3> gainCcm = { { gains.r(), 0, 0, + 0, gains.g(), 0, + 0, 0, gains.b() } }; + auto ccm = context.activeState.ccm.ccm * gainCcm; + auto &red = params->redCcm; + auto &green = params->greenCcm; + auto &blue = params->blueCcm; + for (unsigned int i = 0; i < DebayerParams::kRGBLookupSize; i++) { + red[i].r = ccmValue(i, ccm[0][0]); + red[i].g = ccmValue(i, ccm[1][0]); + red[i].b = ccmValue(i, ccm[2][0]); + green[i].r = ccmValue(i, ccm[0][1]); + green[i].g = ccmValue(i, ccm[1][1]); + green[i].b = ccmValue(i, ccm[2][1]); + blue[i].r = ccmValue(i, ccm[0][2]); + blue[i].g = ccmValue(i, ccm[1][2]); + blue[i].b = ccmValue(i, ccm[2][2]); + params->gammaLut[i] = gammaTable[i / div]; + } + } +} + +void Lut::process([[maybe_unused]] IPAContext &context, + [[maybe_unused]] const uint32_t frame, + [[maybe_unused]] IPAFrameContext &frameContext, + [[maybe_unused]] const SwIspStats *stats, + ControlList &metadata) +{ + const auto &contrast = frameContext.contrast; + if (contrast) + metadata.set(controls::Contrast, contrast.value()); +} + +REGISTER_IPA_ALGORITHM(Lut, "Lut") + +} /* namespace ipa::soft::algorithms */ + +} /* namespace libcamera */ diff --git a/src/ipa/simple/algorithms/lut.h b/src/ipa/simple/algorithms/lut.h new file mode 100644 index 00000000..ba8b9021 --- /dev/null +++ b/src/ipa/simple/algorithms/lut.h @@ -0,0 +1,46 @@ +/* SPDX-License-Identifier: LGPL-2.1-or-later */ +/* + * Copyright (C) 2024, Red Hat Inc. + * + * Color lookup tables construction + */ + +#pragma once + +#include "algorithm.h" + +namespace libcamera { + +namespace ipa::soft::algorithms { + +class Lut : public Algorithm +{ +public: + Lut() = default; + ~Lut() = default; + + int init(IPAContext &context, const YamlObject &tuningData) override; + int configure(IPAContext &context, const IPAConfigInfo &configInfo) override; + void queueRequest(typename Module::Context &context, + const uint32_t frame, + typename Module::FrameContext &frameContext, + const ControlList &controls) + override; + void prepare(IPAContext &context, + const uint32_t frame, + IPAFrameContext &frameContext, + DebayerParams *params) override; + void process(IPAContext &context, + const uint32_t frame, + IPAFrameContext &frameContext, + const SwIspStats *stats, + ControlList &metadata) override; + +private: + void updateGammaTable(IPAContext &context); + int16_t ccmValue(unsigned int i, float ccm) const; +}; + +} /* namespace ipa::soft::algorithms */ + +} /* namespace libcamera */ diff --git a/src/ipa/simple/algorithms/meson.build b/src/ipa/simple/algorithms/meson.build new file mode 100644 index 00000000..2d0adb05 --- /dev/null +++ b/src/ipa/simple/algorithms/meson.build @@ -0,0 +1,9 @@ +# SPDX-License-Identifier: CC0-1.0 + +soft_simple_ipa_algorithms = files([ + 'awb.cpp', + 'agc.cpp', + 'blc.cpp', + 'ccm.cpp', + 'lut.cpp', +]) diff --git a/src/ipa/simple/black_level.cpp b/src/ipa/simple/black_level.cpp deleted file mode 100644 index cc490eb5..00000000 --- a/src/ipa/simple/black_level.cpp +++ /dev/null @@ -1,88 +0,0 @@ -/* SPDX-License-Identifier: LGPL-2.1-or-later */ -/* - * Copyright (C) 2024, Red Hat Inc. - * - * black level handling - */ - -#include "black_level.h" - -#include <numeric> - -#include <libcamera/base/log.h> - -namespace libcamera { - -LOG_DEFINE_CATEGORY(IPASoftBL) - -/** - * \class BlackLevel - * \brief Object providing black point level for software ISP - * - * Black level can be provided in hardware tuning files or, if no tuning file is - * available for the given hardware, guessed automatically, with less accuracy. - * As tuning files are not yet implemented for software ISP, BlackLevel - * currently provides only guessed black levels. - * - * This class serves for tracking black level as a property of the underlying - * hardware, not as means of enhancing a particular scene or image. - * - * The class is supposed to be instantiated for the given camera stream. - * The black level can be retrieved using BlackLevel::get() method. It is - * initially 0 and may change when updated using BlackLevel::update() method. - */ - -BlackLevel::BlackLevel() - : blackLevel_(255), blackLevelSet_(false) -{ -} - -/** - * \brief Return the current black level - * - * \return The black level, in the range from 0 (minimum) to 255 (maximum). - * If the black level couldn't be determined yet, return 0. - */ -uint8_t BlackLevel::get() const -{ - return blackLevelSet_ ? blackLevel_ : 0; -} - -/** - * \brief Update black level from the provided histogram - * \param[in] yHistogram The histogram to be used for updating black level - * - * The black level is property of the given hardware, not image. It is updated - * only if it has not been yet set or if it is lower than the lowest value seen - * so far. - */ -void BlackLevel::update(SwIspStats::Histogram &yHistogram) -{ - /* - * The constant is selected to be "good enough", not overly conservative or - * aggressive. There is no magic about the given value. - */ - constexpr float ignoredPercentage_ = 0.02; - const unsigned int total = - std::accumulate(begin(yHistogram), end(yHistogram), 0); - const unsigned int pixelThreshold = ignoredPercentage_ * total; - const unsigned int histogramRatio = 256 / SwIspStats::kYHistogramSize; - const unsigned int currentBlackIdx = blackLevel_ / histogramRatio; - - for (unsigned int i = 0, seen = 0; - i < currentBlackIdx && i < SwIspStats::kYHistogramSize; - i++) { - seen += yHistogram[i]; - if (seen >= pixelThreshold) { - blackLevel_ = i * histogramRatio; - blackLevelSet_ = true; - LOG(IPASoftBL, Debug) - << "Auto-set black level: " - << i << "/" << SwIspStats::kYHistogramSize - << " (" << 100 * (seen - yHistogram[i]) / total << "% below, " - << 100 * seen / total << "% at or below)"; - break; - } - }; -} -} /* namespace libcamera */ diff --git a/src/ipa/simple/black_level.h b/src/ipa/simple/black_level.h deleted file mode 100644 index 5e032f9f..00000000 --- a/src/ipa/simple/black_level.h +++ /dev/null @@ -1,29 +0,0 @@ -/* SPDX-License-Identifier: LGPL-2.1-or-later */ -/* - * Copyright (C) 2024, Red Hat Inc. - * - * black level handling - */ - -#pragma once - -#include <array> -#include <stdint.h> - -#include "libcamera/internal/software_isp/swisp_stats.h" - -namespace libcamera { - -class BlackLevel -{ -public: - BlackLevel(); - uint8_t get() const; - void update(SwIspStats::Histogram &yHistogram); - -private: - uint8_t blackLevel_; - bool blackLevelSet_; -}; - -} /* namespace libcamera */ diff --git a/src/ipa/simple/data/uncalibrated.yaml b/src/ipa/simple/data/uncalibrated.yaml index ff981a1a..5508e668 100644 --- a/src/ipa/simple/data/uncalibrated.yaml +++ b/src/ipa/simple/data/uncalibrated.yaml @@ -2,4 +2,18 @@ %YAML 1.1 --- version: 1 +algorithms: + - BlackLevel: + - Awb: + # Color correction matrices can be defined here. The CCM algorithm + # has a significant performance impact, and should only be enabled + # if tuned. + # - Ccm: + # ccms: + # - ct: 6500 + # ccm: [ 1, 0, 0, + # 0, 1, 0, + # 0, 0, 1] + - Lut: + - Agc: ... diff --git a/src/ipa/simple/ipa_context.cpp b/src/ipa/simple/ipa_context.cpp new file mode 100644 index 00000000..3f94bbeb --- /dev/null +++ b/src/ipa/simple/ipa_context.cpp @@ -0,0 +1,102 @@ +/* SPDX-License-Identifier: LGPL-2.1-or-later */ +/* + * Copyright (C) 2021, Google Inc. + * Copyright (C) 2024 Red Hat Inc. + * + * Software ISP IPA Context + */ + +#include "ipa_context.h" + +/** + * \file ipa_context.h + * \brief Context and state information shared between the algorithms + */ + +namespace libcamera::ipa::soft { + +/** + * \struct IPASessionConfiguration + * \brief Session configuration for the IPA module + * + * The session configuration contains all IPA configuration parameters that + * remain constant during the capture session, from IPA module start to stop. + * It is typically set during the configure() operation of the IPA module, but + * may also be updated in the start() operation. + */ + +/** + * \struct IPAActiveState + * \brief The active state of the IPA algorithms + * + * The IPA is fed with the statistics generated from the latest frame processed. + * The statistics are then processed by the IPA algorithms to compute parameters + * required for the next frame capture and processing. The current state of the + * algorithms is reflected through the IPAActiveState to store the values most + * recently computed by the IPA algorithms. + */ + +/** + * \struct IPAContext + * \brief Global IPA context data shared between all algorithms + * + * \var IPAContext::configuration + * \brief The IPA session configuration, immutable during the session + * + * \var IPAContext::frameContexts + * \brief Ring buffer of the IPAFrameContext(s) + * + * \var IPAContext::activeState + * \brief The current state of IPA algorithms + */ + +/** + * \var IPASessionConfiguration::gamma + * \brief Gamma value to be used in the raw image processing + */ + +/** + * \var IPAActiveState::black + * \brief Context for the Black Level algorithm + * + * \var IPAActiveState::black.level + * \brief Current determined black level + */ + +/** + * \var IPAActiveState::gains + * \brief Context for gains in the Colors algorithm + * + * \var IPAActiveState::gains.red + * \brief Gain of red color + * + * \var IPAActiveState::gains.green + * \brief Gain of green color + * + * \var IPAActiveState::gains.blue + * \brief Gain of blue color + */ + +/** + * \var IPAActiveState::agc + * \brief Context for the AGC algorithm + * + * \var IPAActiveState::agc.exposure + * \brief Current exposure value + * + * \var IPAActiveState::agc.again + * \brief Current analog gain value + */ + +/** + * \var IPAActiveState::gamma + * \brief Context for gamma in the Colors algorithm + * + * \var IPAActiveState::gamma.gammaTable + * \brief Computed gamma table + * + * \var IPAActiveState::gamma.blackLevel + * \brief Black level used for the gamma table computation + */ + +} /* namespace libcamera::ipa::soft */ diff --git a/src/ipa/simple/ipa_context.h b/src/ipa/simple/ipa_context.h new file mode 100644 index 00000000..88cc6c35 --- /dev/null +++ b/src/ipa/simple/ipa_context.h @@ -0,0 +1,101 @@ +/* SPDX-License-Identifier: LGPL-2.1-or-later */ +/* + * Copyright (C) 2024-2025 Red Hat, Inc. + * + * Simple pipeline IPA Context + */ + +#pragma once + +#include <array> +#include <optional> +#include <stdint.h> + +#include <libcamera/controls.h> + +#include "libcamera/internal/matrix.h" +#include "libcamera/internal/vector.h" + +#include <libipa/fc_queue.h> + +#include "core_ipa_interface.h" + +namespace libcamera { + +namespace ipa::soft { + +struct IPASessionConfiguration { + float gamma; + struct { + int32_t exposureMin, exposureMax; + double againMin, againMax, againMinStep; + utils::Duration lineDuration; + } agc; + struct { + std::optional<uint8_t> level; + } black; +}; + +struct IPAActiveState { + struct { + uint8_t level; + int32_t lastExposure; + double lastGain; + } blc; + + struct { + RGB<float> gains; + unsigned int temperatureK; + } awb; + + static constexpr unsigned int kGammaLookupSize = 1024; + struct { + std::array<double, kGammaLookupSize> gammaTable; + uint8_t blackLevel; + double contrast; + } gamma; + + struct { + Matrix<float, 3, 3> ccm; + bool changed; + } ccm; + + struct { + /* 0..2 range, 1.0 = normal */ + std::optional<double> contrast; + } knobs; +}; + +struct IPAFrameContext : public FrameContext { + struct { + Matrix<float, 3, 3> ccm; + } ccm; + + struct { + int32_t exposure; + double gain; + } sensor; + struct { + double red; + double blue; + } gains; + std::optional<double> contrast; +}; + +struct IPAContext { + IPAContext(unsigned int frameContextSize) + : frameContexts(frameContextSize) + { + } + + IPACameraSensorInfo sensorInfo; + IPASessionConfiguration configuration; + IPAActiveState activeState; + FCQueue<IPAFrameContext> frameContexts; + ControlInfoMap::Map ctrlMap; + bool ccmEnabled = false; +}; + +} /* namespace ipa::soft */ + +} /* namespace libcamera */ diff --git a/src/ipa/simple/meson.build b/src/ipa/simple/meson.build index b297e1d2..2f9f15f4 100644 --- a/src/ipa/simple/meson.build +++ b/src/ipa/simple/meson.build @@ -1,12 +1,17 @@ # SPDX-License-Identifier: CC0-1.0 +subdir('algorithms') +subdir('data') + ipa_name = 'ipa_soft_simple' soft_simple_sources = files([ + 'ipa_context.cpp', 'soft_simple.cpp', - 'black_level.cpp', ]) +soft_simple_sources += soft_simple_ipa_algorithms + mod = shared_module(ipa_name, soft_simple_sources, name_prefix : '', include_directories : [ipa_includes], @@ -23,6 +28,4 @@ if ipa_sign_module build_by_default : true) endif -subdir('data') - ipa_names += ipa_name diff --git a/src/ipa/simple/module.h b/src/ipa/simple/module.h new file mode 100644 index 00000000..8d4d53fb --- /dev/null +++ b/src/ipa/simple/module.h @@ -0,0 +1,30 @@ +/* SPDX-License-Identifier: LGPL-2.1-or-later */ +/* + * Copyright (C) 2024 Red Hat, Inc. + * + * Software ISP IPA Module + */ + +#pragma once + +#include <libcamera/controls.h> + +#include <libcamera/ipa/soft_ipa_interface.h> + +#include "libcamera/internal/software_isp/debayer_params.h" +#include "libcamera/internal/software_isp/swisp_stats.h" + +#include <libipa/module.h> + +#include "ipa_context.h" + +namespace libcamera { + +namespace ipa::soft { + +using Module = ipa::Module<IPAContext, IPAFrameContext, IPAConfigInfo, + DebayerParams, SwIspStats>; + +} /* namespace ipa::soft */ + +} /* namespace libcamera */ diff --git a/src/ipa/simple/soft_simple.cpp b/src/ipa/simple/soft_simple.cpp index b7746ce0..c94c4cd5 100644 --- a/src/ipa/simple/soft_simple.cpp +++ b/src/ipa/simple/soft_simple.cpp @@ -5,8 +5,7 @@ * Simple Software Image Processing Algorithm module */ -#include <cmath> -#include <numeric> +#include <chrono> #include <stdint.h> #include <sys/mman.h> @@ -29,37 +28,23 @@ #include "libipa/camera_sensor_helper.h" -#include "black_level.h" +#include "module.h" namespace libcamera { LOG_DEFINE_CATEGORY(IPASoft) -namespace ipa::soft { - -/* - * The number of bins to use for the optimal exposure calculations. - */ -static constexpr unsigned int kExposureBinsCount = 5; +using namespace std::literals::chrono_literals; -/* - * The exposure is optimal when the mean sample value of the histogram is - * in the middle of the range. - */ -static constexpr float kExposureOptimal = kExposureBinsCount / 2.0; +namespace ipa::soft { -/* - * The below value implements the hysteresis for the exposure adjustment. - * It is small enough to have the exposure close to the optimal, and is big - * enough to prevent the exposure from wobbling around the optimal value. - */ -static constexpr float kExposureSatisfactory = 0.2; +/* Maximum number of frame contexts to be held */ +static constexpr uint32_t kMaxFrameContexts = 16; -class IPASoftSimple : public ipa::soft::IPASoftInterface +class IPASoftSimple : public ipa::soft::IPASoftInterface, public Module { public: IPASoftSimple() - : params_(nullptr), stats_(nullptr), blackLevel_(BlackLevel()), - ignoreUpdates_(0) + : context_(kMaxFrameContexts) { } @@ -68,13 +53,22 @@ public: int init(const IPASettings &settings, const SharedFD &fdStats, const SharedFD &fdParams, - const ControlInfoMap &sensorInfoMap) override; - int configure(const ControlInfoMap &sensorInfoMap) override; + const IPACameraSensorInfo &sensorInfo, + const ControlInfoMap &sensorControls, + ControlInfoMap *ipaControls, + bool *ccmEnabled) override; + int configure(const IPAConfigInfo &configInfo) override; int start() override; void stop() override; - void processStats(const ControlList &sensorControls) override; + void queueRequest(const uint32_t frame, const ControlList &controls) override; + void computeParams(const uint32_t frame) override; + void processStats(const uint32_t frame, const uint32_t bufferId, + const ControlList &sensorControls) override; + +protected: + std::string logPrefix() const override; private: void updateExposure(double exposureMSV); @@ -83,17 +77,9 @@ private: SwIspStats *stats_; std::unique_ptr<CameraSensorHelper> camHelper_; ControlInfoMap sensorInfoMap_; - BlackLevel blackLevel_; - static constexpr unsigned int kGammaLookupSize = 1024; - std::array<uint8_t, kGammaLookupSize> gammaTable_; - int lastBlackLevel_ = -1; - - int32_t exposureMin_, exposureMax_; - int32_t exposure_; - double againMin_, againMax_, againMinStep_; - double again_; - unsigned int ignoreUpdates_; + /* Local parameter storage */ + struct IPAContext context_; }; IPASoftSimple::~IPASoftSimple() @@ -107,7 +93,10 @@ IPASoftSimple::~IPASoftSimple() int IPASoftSimple::init(const IPASettings &settings, const SharedFD &fdStats, const SharedFD &fdParams, - const ControlInfoMap &sensorInfoMap) + const IPACameraSensorInfo &sensorInfo, + const ControlInfoMap &sensorControls, + ControlInfoMap *ipaControls, + bool *ccmEnabled) { camHelper_ = CameraSensorHelperFactoryBase::create(settings.sensorModel); if (!camHelper_) { @@ -116,6 +105,8 @@ int IPASoftSimple::init(const IPASettings &settings, << settings.sensorModel; } + context_.sensorInfo = sensorInfo; + /* Load the tuning data file */ File file(settings.configurationFile); if (!file.open(File::OpenModeFlag::ReadOnly)) { @@ -134,6 +125,17 @@ int IPASoftSimple::init(const IPASettings &settings, unsigned int version = (*data)["version"].get<uint32_t>(0); LOG(IPASoft, Debug) << "Tuning file version " << version; + if (!data->contains("algorithms")) { + LOG(IPASoft, Error) << "Tuning file doesn't contain algorithms"; + return -EINVAL; + } + + int ret = createAlgorithms(context_, (*data)["algorithms"]); + if (ret) + return ret; + + *ccmEnabled = context_.ccmEnabled; + params_ = nullptr; stats_ = nullptr; @@ -169,18 +171,21 @@ int IPASoftSimple::init(const IPASettings &settings, stats_ = static_cast<SwIspStats *>(mem); } + ControlInfoMap::Map ctrlMap = context_.ctrlMap; + *ipaControls = ControlInfoMap(std::move(ctrlMap), controls::controls); + /* * Check if the sensor driver supports the controls required by the * Soft IPA. * Don't save the min and max control values yet, as e.g. the limits * for V4L2_CID_EXPOSURE depend on the configured sensor resolution. */ - if (sensorInfoMap.find(V4L2_CID_EXPOSURE) == sensorInfoMap.end()) { + if (sensorControls.find(V4L2_CID_EXPOSURE) == sensorControls.end()) { LOG(IPASoft, Error) << "Don't have exposure control"; return -EINVAL; } - if (sensorInfoMap.find(V4L2_CID_ANALOGUE_GAIN) == sensorInfoMap.end()) { + if (sensorControls.find(V4L2_CID_ANALOGUE_GAIN) == sensorControls.end()) { LOG(IPASoft, Error) << "Don't have gain control"; return -EINVAL; } @@ -188,27 +193,47 @@ int IPASoftSimple::init(const IPASettings &settings, return 0; } -int IPASoftSimple::configure(const ControlInfoMap &sensorInfoMap) +int IPASoftSimple::configure(const IPAConfigInfo &configInfo) { - sensorInfoMap_ = sensorInfoMap; + sensorInfoMap_ = configInfo.sensorControls; const ControlInfo &exposureInfo = sensorInfoMap_.find(V4L2_CID_EXPOSURE)->second; const ControlInfo &gainInfo = sensorInfoMap_.find(V4L2_CID_ANALOGUE_GAIN)->second; - exposureMin_ = exposureInfo.min().get<int32_t>(); - exposureMax_ = exposureInfo.max().get<int32_t>(); - if (!exposureMin_) { + /* Clear the IPA context before the streaming session. */ + context_.configuration = {}; + context_.activeState = {}; + context_.frameContexts.clear(); + + context_.configuration.agc.lineDuration = + context_.sensorInfo.minLineLength * 1.0s / context_.sensorInfo.pixelRate; + context_.configuration.agc.exposureMin = exposureInfo.min().get<int32_t>(); + context_.configuration.agc.exposureMax = exposureInfo.max().get<int32_t>(); + if (!context_.configuration.agc.exposureMin) { LOG(IPASoft, Warning) << "Minimum exposure is zero, that can't be linear"; - exposureMin_ = 1; + context_.configuration.agc.exposureMin = 1; } int32_t againMin = gainInfo.min().get<int32_t>(); int32_t againMax = gainInfo.max().get<int32_t>(); if (camHelper_) { - againMin_ = camHelper_->gain(againMin); - againMax_ = camHelper_->gain(againMax); - againMinStep_ = (againMax_ - againMin_) / 100.0; + context_.configuration.agc.againMin = camHelper_->gain(againMin); + context_.configuration.agc.againMax = camHelper_->gain(againMax); + context_.configuration.agc.againMinStep = + (context_.configuration.agc.againMax - + context_.configuration.agc.againMin) / + 100.0; + if (camHelper_->blackLevel().has_value()) { + /* + * The black level from camHelper_ is a 16 bit value, software ISP + * works with 8 bit pixel values, both regardless of the actual + * sensor pixel width. Hence we obtain the pixel-based black value + * by dividing the value from the helper by 256. + */ + context_.configuration.black.level = + camHelper_->blackLevel().value() / 256; + } } else { /* * The camera sensor gain (g) is usually not equal to the value written @@ -220,18 +245,28 @@ int IPASoftSimple::configure(const ControlInfoMap &sensorInfoMap) * the AGC algorithm (abrupt near one edge, and very small near the * other) we limit the range of the gain values used. */ - againMax_ = againMax; + context_.configuration.agc.againMax = againMax; if (!againMin) { LOG(IPASoft, Warning) << "Minimum gain is zero, that can't be linear"; - againMin_ = std::min(100, againMin / 2 + againMax / 2); + context_.configuration.agc.againMin = + std::min(100, againMin / 2 + againMax / 2); } - againMinStep_ = 1.0; + context_.configuration.agc.againMinStep = 1.0; + } + + for (auto const &algo : algorithms()) { + int ret = algo->configure(context_, configInfo); + if (ret) + return ret; } - LOG(IPASoft, Info) << "Exposure " << exposureMin_ << "-" << exposureMax_ - << ", gain " << againMin_ << "-" << againMax_ - << " (" << againMinStep_ << ")"; + LOG(IPASoft, Info) + << "Exposure " << context_.configuration.agc.exposureMin << "-" + << context_.configuration.agc.exposureMax + << ", gain " << context_.configuration.agc.againMin << "-" + << context_.configuration.agc.againMax + << " (" << context_.configuration.agc.againMinStep << ")"; return 0; } @@ -243,107 +278,40 @@ int IPASoftSimple::start() void IPASoftSimple::stop() { + context_.frameContexts.clear(); } -void IPASoftSimple::processStats(const ControlList &sensorControls) +void IPASoftSimple::queueRequest(const uint32_t frame, const ControlList &controls) { - SwIspStats::Histogram histogram = stats_->yHistogram; - if (ignoreUpdates_ > 0) - blackLevel_.update(histogram); - const uint8_t blackLevel = blackLevel_.get(); - - /* - * Black level must be subtracted to get the correct AWB ratios, they - * would be off if they were computed from the whole brightness range - * rather than from the sensor range. - */ - const uint64_t nPixels = std::accumulate( - histogram.begin(), histogram.end(), 0); - const uint64_t offset = blackLevel * nPixels; - const uint64_t sumR = stats_->sumR_ - offset / 4; - const uint64_t sumG = stats_->sumG_ - offset / 2; - const uint64_t sumB = stats_->sumB_ - offset / 4; - - /* - * Calculate red and blue gains for AWB. - * Clamp max gain at 4.0, this also avoids 0 division. - * Gain: 128 = 0.5, 256 = 1.0, 512 = 2.0, etc. - */ - const unsigned int gainR = sumR <= sumG / 4 ? 1024 : 256 * sumG / sumR; - const unsigned int gainB = sumB <= sumG / 4 ? 1024 : 256 * sumG / sumB; - /* Green gain and gamma values are fixed */ - constexpr unsigned int gainG = 256; - - /* Update the gamma table if needed */ - if (blackLevel != lastBlackLevel_) { - constexpr float gamma = 0.5; - const unsigned int blackIndex = blackLevel * kGammaLookupSize / 256; - std::fill(gammaTable_.begin(), gammaTable_.begin() + blackIndex, 0); - const float divisor = kGammaLookupSize - blackIndex - 1.0; - for (unsigned int i = blackIndex; i < kGammaLookupSize; i++) - gammaTable_[i] = UINT8_MAX * - std::pow((i - blackIndex) / divisor, gamma); - - lastBlackLevel_ = blackLevel; - } - - for (unsigned int i = 0; i < DebayerParams::kRGBLookupSize; i++) { - constexpr unsigned int div = - DebayerParams::kRGBLookupSize * 256 / kGammaLookupSize; - unsigned int idx; + IPAFrameContext &frameContext = context_.frameContexts.alloc(frame); - /* Apply gamma after gain! */ - idx = std::min({ i * gainR / div, (kGammaLookupSize - 1) }); - params_->red[i] = gammaTable_[idx]; - - idx = std::min({ i * gainG / div, (kGammaLookupSize - 1) }); - params_->green[i] = gammaTable_[idx]; - - idx = std::min({ i * gainB / div, (kGammaLookupSize - 1) }); - params_->blue[i] = gammaTable_[idx]; - } + for (auto const &algo : algorithms()) + algo->queueRequest(context_, frame, frameContext, controls); +} +void IPASoftSimple::computeParams(const uint32_t frame) +{ + IPAFrameContext &frameContext = context_.frameContexts.get(frame); + for (auto const &algo : algorithms()) + algo->prepare(context_, frame, frameContext, params_); setIspParams.emit(); +} - /* \todo Switch to the libipa/algorithm.h API someday. */ - - /* - * AE / AGC, use 2 frames delay to make sure that the exposure and - * the gain set have applied to the camera sensor. - * \todo This could be handled better with DelayedControls. - */ - if (ignoreUpdates_ > 0) { - --ignoreUpdates_; - return; - } - - /* - * Calculate Mean Sample Value (MSV) according to formula from: - * https://www.araa.asn.au/acra/acra2007/papers/paper84final.pdf - */ - const unsigned int blackLevelHistIdx = - blackLevel / (256 / SwIspStats::kYHistogramSize); - const unsigned int histogramSize = - SwIspStats::kYHistogramSize - blackLevelHistIdx; - const unsigned int yHistValsPerBin = histogramSize / kExposureBinsCount; - const unsigned int yHistValsPerBinMod = - histogramSize / (histogramSize % kExposureBinsCount + 1); - int exposureBins[kExposureBinsCount] = {}; - unsigned int denom = 0; - unsigned int num = 0; - - for (unsigned int i = 0; i < histogramSize; i++) { - unsigned int idx = (i - (i / yHistValsPerBinMod)) / yHistValsPerBin; - exposureBins[idx] += stats_->yHistogram[blackLevelHistIdx + i]; - } +void IPASoftSimple::processStats(const uint32_t frame, + [[maybe_unused]] const uint32_t bufferId, + const ControlList &sensorControls) +{ + IPAFrameContext &frameContext = context_.frameContexts.get(frame); - for (unsigned int i = 0; i < kExposureBinsCount; i++) { - LOG(IPASoft, Debug) << i << ": " << exposureBins[i]; - denom += exposureBins[i]; - num += exposureBins[i] * (i + 1); - } + frameContext.sensor.exposure = + sensorControls.get(V4L2_CID_EXPOSURE).get<int32_t>(); + int32_t again = sensorControls.get(V4L2_CID_ANALOGUE_GAIN).get<int32_t>(); + frameContext.sensor.gain = camHelper_ ? camHelper_->gain(again) : again; - float exposureMSV = static_cast<float>(num) / denom; + ControlList metadata(controls::controls); + for (auto const &algo : algorithms()) + algo->process(context_, frame, frameContext, stats_, metadata); + metadataReady.emit(frame, metadata); /* Sanity check */ if (!sensorControls.contains(V4L2_CID_EXPOSURE) || @@ -352,73 +320,19 @@ void IPASoftSimple::processStats(const ControlList &sensorControls) return; } - exposure_ = sensorControls.get(V4L2_CID_EXPOSURE).get<int32_t>(); - int32_t again = sensorControls.get(V4L2_CID_ANALOGUE_GAIN).get<int32_t>(); - again_ = camHelper_ ? camHelper_->gain(again) : again; - - updateExposure(exposureMSV); - ControlList ctrls(sensorInfoMap_); - ctrls.set(V4L2_CID_EXPOSURE, exposure_); + auto &againNew = frameContext.sensor.gain; + ctrls.set(V4L2_CID_EXPOSURE, frameContext.sensor.exposure); ctrls.set(V4L2_CID_ANALOGUE_GAIN, - static_cast<int32_t>(camHelper_ ? camHelper_->gainCode(again_) : again_)); - - ignoreUpdates_ = 2; + static_cast<int32_t>(camHelper_ ? camHelper_->gainCode(againNew) : againNew)); setSensorControls.emit(ctrls); - - LOG(IPASoft, Debug) << "exposureMSV " << exposureMSV - << " exp " << exposure_ << " again " << again_ - << " gain R/B " << gainR << "/" << gainB - << " black level " << static_cast<unsigned int>(blackLevel); } -void IPASoftSimple::updateExposure(double exposureMSV) +std::string IPASoftSimple::logPrefix() const { - /* - * kExpDenominator of 10 gives ~10% increment/decrement; - * kExpDenominator of 5 - about ~20% - */ - static constexpr uint8_t kExpDenominator = 10; - static constexpr uint8_t kExpNumeratorUp = kExpDenominator + 1; - static constexpr uint8_t kExpNumeratorDown = kExpDenominator - 1; - - double next; - - if (exposureMSV < kExposureOptimal - kExposureSatisfactory) { - next = exposure_ * kExpNumeratorUp / kExpDenominator; - if (next - exposure_ < 1) - exposure_ += 1; - else - exposure_ = next; - if (exposure_ >= exposureMax_) { - next = again_ * kExpNumeratorUp / kExpDenominator; - if (next - again_ < againMinStep_) - again_ += againMinStep_; - else - again_ = next; - } - } - - if (exposureMSV > kExposureOptimal + kExposureSatisfactory) { - if (exposure_ == exposureMax_ && again_ > againMin_) { - next = again_ * kExpNumeratorDown / kExpDenominator; - if (again_ - next < againMinStep_) - again_ -= againMinStep_; - else - again_ = next; - } else { - next = exposure_ * kExpNumeratorDown / kExpDenominator; - if (exposure_ - next < 1) - exposure_ -= 1; - else - exposure_ = next; - } - } - - exposure_ = std::clamp(exposure_, exposureMin_, exposureMax_); - again_ = std::clamp(again_, againMin_, againMax_); + return "IPASoft"; } } /* namespace ipa::soft */ diff --git a/src/ipa/vimc/vimc.cpp b/src/ipa/vimc/vimc.cpp index ebd63fa6..a1351a0f 100644 --- a/src/ipa/vimc/vimc.cpp +++ b/src/ipa/vimc/vimc.cpp @@ -14,6 +14,7 @@ #include <iostream> #include <libcamera/base/file.h> +#include <libcamera/base/flags.h> #include <libcamera/base/log.h> #include <libcamera/ipa/ipa_interface.h> @@ -47,7 +48,7 @@ public: void unmapBuffers(const std::vector<unsigned int> &ids) override; void queueRequest(uint32_t frame, const ControlList &controls) override; - void fillParamsBuffer(uint32_t frame, uint32_t bufferId) override; + void computeParams(uint32_t frame, uint32_t bufferId) override; private: void initTrace(); @@ -149,7 +150,7 @@ void IPAVimc::queueRequest([[maybe_unused]] uint32_t frame, { } -void IPAVimc::fillParamsBuffer([[maybe_unused]] uint32_t frame, uint32_t bufferId) +void IPAVimc::computeParams([[maybe_unused]] uint32_t frame, uint32_t bufferId) { auto it = buffers_.find(bufferId); if (it == buffers_.end()) { @@ -158,7 +159,7 @@ void IPAVimc::fillParamsBuffer([[maybe_unused]] uint32_t frame, uint32_t bufferI } Flags<ipa::vimc::TestFlag> flags; - paramsBufferReady.emit(bufferId, flags); + paramsComputed.emit(bufferId, flags); } void IPAVimc::initTrace() |